diff options
Diffstat (limited to 'wqflask')
58 files changed, 2305 insertions, 2227 deletions
diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py index fddfce58..54dd3c4b 100644 --- a/wqflask/base/data_set.py +++ b/wqflask/base/data_set.py @@ -44,7 +44,7 @@ from db import webqtlDatabaseFunction from utility import webqtlUtil from utility.benchmark import Bench from utility import chunks -from utility.tools import locate, locate_ignore_error +from utility.tools import locate, locate_ignore_error, flat_files from maintenance import get_group_samplelists @@ -53,7 +53,7 @@ from pprint import pformat as pf from db.gn_server import menu_main from db.call import fetchall,fetchone,fetch1 -from utility.tools import USE_GN_SERVER, USE_REDIS +from utility.tools import USE_GN_SERVER, USE_REDIS, flat_files, flat_file_exists from utility.logger import getLogger logger = getLogger(__name__ ) @@ -226,7 +226,7 @@ class Markers(object): class HumanMarkers(Markers): def __init__(self, name, specified_markers = []): - marker_data_fh = open(locate('genotype') + '/' + name + '.bim') + marker_data_fh = open(flat_files('mapping') + '/' + name + '.bim') self.markers = [] for line in marker_data_fh: splat = line.strip().split() @@ -264,96 +264,74 @@ class DatasetGroup(object): def __init__(self, dataset): """This sets self.group and self.group_id""" #logger.debug("DATASET NAME2:", dataset.name) - self.name, self.id = fetchone(dataset.query_for_group) + self.name, self.id, self.genetic_type = fetchone(dataset.query_for_group) if self.name == 'BXD300': self.name = "BXD" self.f1list = None self.parlist = None self.get_f1_parent_strains() - #logger.debug("parents/f1s: {}:{}".format(self.parlist, self.f1list)) + + self.accession_id = self.get_accession_id() + self.mapping_id, self.mapping_names = self.get_mapping_methods() self.species = webqtlDatabaseFunction.retrieve_species(self.name) self.incparentsf1 = False self.allsamples = None self._datasets = None + self.genofile = None + + def get_accession_id(self): + results = g.db.execute("""select InfoFiles.GN_AccesionId from InfoFiles, PublishFreeze, InbredSet where + InbredSet.Name = %s and + PublishFreeze.InbredSetId = InbredSet.Id and + InfoFiles.InfoPageName = PublishFreeze.Name and + PublishFreeze.public > 0 and + PublishFreeze.confidentiality < 1 order by + PublishFreeze.CreateTime desc""", (self.name)).fetchone() + + if results != None: + return str(results[0]) + else: + return "None" + + def get_mapping_methods(self): + + mapping_id = g.db.execute("select MappingMethodId from InbredSet where Name= '%s'" % self.name).fetchone()[0] + if mapping_id == "1": + mapping_names = ["QTLReaper", "PYLMM", "R/qtl"] + elif mapping_id == "2": + mapping_names = ["GEMMA"] + elif mapping_id == "4": + mapping_names = ["PLINK"] + else: + mapping_names = [] + + return mapping_id, mapping_names def get_specified_markers(self, markers = []): self.markers = HumanMarkers(self.name, markers) def get_markers(self): - #logger.debug("self.species is:", self.species) - if self.species == "human": + logger.debug("self.species is:", self.species) + + def check_plink_gemma(): + if flat_file_exists("mapping"): + MAPPING_PATH = flat_files("mapping")+"/" + if (os.path.isfile(MAPPING_PATH+self.name+".bed") and + (os.path.isfile(MAPPING_PATH+self.name+".map") or + os.path.isfile(MAPPING_PATH+self.name+".bim"))): + return True + return False + + if check_plink_gemma(): marker_class = HumanMarkers else: - marker_class = Markers + marker_class = Markers self.markers = marker_class(self.name) - def datasets(self): - key = "group_dataset_menu:v2:" + self.name - logger.debug("key is2:", key) - dataset_menu = [] - logger.debug("[tape4] webqtlConfig.PUBLICTHRESH:", webqtlConfig.PUBLICTHRESH) - logger.debug("[tape4] type webqtlConfig.PUBLICTHRESH:", type(webqtlConfig.PUBLICTHRESH)) - the_results = fetchall(''' - (SELECT '#PublishFreeze',PublishFreeze.FullName,PublishFreeze.Name - FROM PublishFreeze,InbredSet - WHERE PublishFreeze.InbredSetId = InbredSet.Id - and InbredSet.Name = '%s' - and PublishFreeze.public > %s) - UNION - (SELECT '#GenoFreeze',GenoFreeze.FullName,GenoFreeze.Name - FROM GenoFreeze, InbredSet - WHERE GenoFreeze.InbredSetId = InbredSet.Id - and InbredSet.Name = '%s' - and GenoFreeze.public > %s) - UNION - (SELECT Tissue.Name, ProbeSetFreeze.FullName,ProbeSetFreeze.Name - FROM ProbeSetFreeze, ProbeFreeze, InbredSet, Tissue - WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id - and ProbeFreeze.TissueId = Tissue.Id - and ProbeFreeze.InbredSetId = InbredSet.Id - and InbredSet.Name like %s - and ProbeSetFreeze.public > %s - ORDER BY Tissue.Name, ProbeSetFreeze.CreateTime desc, ProbeSetFreeze.AvgId) - ''' % (self.name, webqtlConfig.PUBLICTHRESH, - self.name, webqtlConfig.PUBLICTHRESH, - "'" + self.name + "'", webqtlConfig.PUBLICTHRESH)) - - #for tissue_name, dataset in itertools.groupby(the_results, itemgetter(0)): - for dataset_item in the_results: - tissue_name = dataset_item[0] - dataset = dataset_item[1] - dataset_short = dataset_item[2] - if tissue_name in ['#PublishFreeze', '#GenoFreeze']: - dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)])) - else: - dataset_sub_menu = [item[1:] for item in dataset] - - tissue_already_exists = False - tissue_position = None - for i, tissue_dict in enumerate(dataset_menu): - if tissue_dict['tissue'] == tissue_name: - tissue_already_exists = True - tissue_position = i - break - - if tissue_already_exists: - #logger.debug("dataset_menu:", dataset_menu[i]['datasets']) - dataset_menu[i]['datasets'].append((dataset, dataset_short)) - else: - dataset_menu.append(dict(tissue=tissue_name, - datasets=[(dataset, dataset_short)])) - - if USE_REDIS: - Redis.set(key, pickle.dumps(dataset_menu, pickle.HIGHEST_PROTOCOL)) - Redis.expire(key, 60*5) - self._datasets = dataset_menu - - return self._datasets - def get_f1_parent_strains(self): try: # NL, 07/27/2010. ParInfo has been moved from webqtlForm.py to webqtlUtil.py; @@ -408,7 +386,10 @@ class DatasetGroup(object): genotype_1 = reaper.Dataset() # reaper barfs on unicode filenames, so here we ensure it's a string - full_filename = str(locate(self.name+'.geno','genotype')) + if self.genofile: + full_filename = str(locate(self.genofile, 'genotype')) + else: + full_filename = str(locate(self.name + '.geno', 'genotype')) genotype_1.read(full_filename) if genotype_1.type == "group" and self.parlist: @@ -427,6 +408,71 @@ class DatasetGroup(object): return genotype +def datasets(group_name, this_group = None): + key = "group_dataset_menu:v2:" + group_name + logger.debug("key is2:", key) + dataset_menu = [] + logger.debug("[tape4] webqtlConfig.PUBLICTHRESH:", webqtlConfig.PUBLICTHRESH) + logger.debug("[tape4] type webqtlConfig.PUBLICTHRESH:", type(webqtlConfig.PUBLICTHRESH)) + the_results = fetchall(''' + (SELECT '#PublishFreeze',PublishFreeze.FullName,PublishFreeze.Name + FROM PublishFreeze,InbredSet + WHERE PublishFreeze.InbredSetId = InbredSet.Id + and InbredSet.Name = '%s' + and PublishFreeze.public > %s) + UNION + (SELECT '#GenoFreeze',GenoFreeze.FullName,GenoFreeze.Name + FROM GenoFreeze, InbredSet + WHERE GenoFreeze.InbredSetId = InbredSet.Id + and InbredSet.Name = '%s' + and GenoFreeze.public > %s) + UNION + (SELECT Tissue.Name, ProbeSetFreeze.FullName,ProbeSetFreeze.Name + FROM ProbeSetFreeze, ProbeFreeze, InbredSet, Tissue + WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id + and ProbeFreeze.TissueId = Tissue.Id + and ProbeFreeze.InbredSetId = InbredSet.Id + and InbredSet.Name like %s + and ProbeSetFreeze.public > %s + ORDER BY Tissue.Name, ProbeSetFreeze.CreateTime desc, ProbeSetFreeze.AvgId) + ''' % (group_name, webqtlConfig.PUBLICTHRESH, + group_name, webqtlConfig.PUBLICTHRESH, + "'" + group_name + "'", webqtlConfig.PUBLICTHRESH)) + + #for tissue_name, dataset in itertools.groupby(the_results, itemgetter(0)): + for dataset_item in the_results: + tissue_name = dataset_item[0] + dataset = dataset_item[1] + dataset_short = dataset_item[2] + if tissue_name in ['#PublishFreeze', '#GenoFreeze']: + dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)])) + else: + dataset_sub_menu = [item[1:] for item in dataset] + + tissue_already_exists = False + tissue_position = None + for i, tissue_dict in enumerate(dataset_menu): + if tissue_dict['tissue'] == tissue_name: + tissue_already_exists = True + tissue_position = i + break + + if tissue_already_exists: + #logger.debug("dataset_menu:", dataset_menu[i]['datasets']) + dataset_menu[i]['datasets'].append((dataset, dataset_short)) + else: + dataset_menu.append(dict(tissue=tissue_name, + datasets=[(dataset, dataset_short)])) + + if USE_REDIS: + Redis.set(key, pickle.dumps(dataset_menu, pickle.HIGHEST_PROTOCOL)) + Redis.expire(key, 60*5) + + if this_group != None: + this_group._datasets = dataset_menu + return this_group._datasets + else: + return dataset_menu class DataSet(object): """ @@ -650,7 +696,7 @@ class PhenotypeDataSet(DataSet): self.query_for_group = ''' SELECT - InbredSet.Name, InbredSet.Id + InbredSet.Name, InbredSet.Id, InbredSet.GeneticType FROM InbredSet, PublishFreeze WHERE @@ -720,8 +766,8 @@ class PhenotypeDataSet(DataSet): if this_trait.lrs: query = """ select Geno.Chr, Geno.Mb from Geno, Species - where Species.Name = %s and - Geno.Name = %s and + where Species.Name = '%s' and + Geno.Name = '%s' and Geno.SpeciesId = Species.Id """ % (species, this_trait.locus) logger.sql(query) @@ -793,7 +839,7 @@ class GenotypeDataSet(DataSet): self.query_for_group = ''' SELECT - InbredSet.Name, InbredSet.Id + InbredSet.Name, InbredSet.Id, InbredSet.GeneticType FROM InbredSet, GenoFreeze WHERE @@ -919,7 +965,7 @@ class MrnaAssayDataSet(DataSet): self.query_for_group = ''' SELECT - InbredSet.Name, InbredSet.Id + InbredSet.Name, InbredSet.Id, InbredSet.GeneticType FROM InbredSet, ProbeSetFreeze, ProbeFreeze WHERE diff --git a/wqflask/base/trait.py b/wqflask/base/trait.py index 276c624a..bf87e879 100644 --- a/wqflask/base/trait.py +++ b/wqflask/base/trait.py @@ -23,6 +23,8 @@ from flask import Flask, g, request from utility.logger import getLogger logger = getLogger(__name__ ) +from wqflask import user_manager + def print_mem(stage=""): mem = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss print("{}: {}".format(stage, mem/1024)) @@ -55,6 +57,7 @@ class GeneralTrait(object): self.lrs = None self.pvalue = None self.mean = None + self.additive = None self.num_overlap = None self.strand_probe = None self.symbol = None @@ -69,45 +72,9 @@ class GeneralTrait(object): # Todo: These two lines are necessary most of the time, but perhaps not all of the time # So we could add a simple if statement to short-circuit this if necessary - self.retrieve_info(get_qtl_info=get_qtl_info) + self = retrieve_trait_info(self, self.dataset, get_qtl_info=get_qtl_info) if get_sample_info != False: - self.retrieve_sample_data() - - - def jsonable(self): - """Return a dict suitable for using as json - - Actual turning into json doesn't happen here though""" - - if self.dataset.type == "ProbeSet": - return dict(name=self.name, - symbol=self.symbol, - dataset=self.dataset.name, - description=self.description_display, - mean=self.mean, - location=self.location_repr, - lrs_score=self.LRS_score_repr, - lrs_location=self.LRS_location_repr, - additive=self.additive - ) - elif self.dataset.type == "Publish": - return dict(name=self.name, - dataset=self.dataset.name, - description=self.description_display, - authors=self.authors, - pubmed_text=self.pubmed_text, - pubmed_link=self.pubmed_link, - lrs_score=self.LRS_score_repr, - lrs_location=self.LRS_location_repr, - additive=self.additive - ) - elif self.dataset.type == "Geno": - return dict(name=self.name, - dataset=self.dataset.name, - location=self.location_repr - ) - else: - return dict() + self = retrieve_sample_data(self, self.dataset) def get_name(self): @@ -213,410 +180,6 @@ class GeneralTrait(object): return samples, vals, the_vars, sample_aliases - # - # In ProbeSet, there are maybe several annotations match one sequence - # so we need use sequence(BlatSeq) as the identification, when we update - # one annotation, we update the others who match the sequence also. - # - # Hongqiang Li, 3/3/2008 - # - #def getSequence(self): - # assert self.cursor - # if self.dataset.type == 'ProbeSet': - # self.cursor.execute(''' - # SELECT - # ProbeSet.BlatSeq - # FROM - # ProbeSet, ProbeSetFreeze, ProbeSetXRef - # WHERE - # ProbeSet.Id=ProbeSetXRef.ProbeSetId and - # ProbeSetFreeze.Id = ProbeSetXRef.ProbSetFreezeId and - # ProbeSet.Name = %s - # ProbeSetFreeze.Name = %s - # ''', self.name, self.dataset.name) - # #self.cursor.execute(query) - # results = self.fetchone() - # - # return results[0] - - - - def retrieve_sample_data(self, samplelist=None): - if samplelist == None: - samplelist = [] - - results = self.dataset.retrieve_sample_data(self.name) - - # Todo: is this necessary? If not remove - self.data.clear() - - all_samples_ordered = self.dataset.group.all_samples_ordered() - - if results: - for item in results: - name, value, variance, num_cases, name2 = item - if not samplelist or (samplelist and name in samplelist): - self.data[name] = webqtlCaseData(*item) #name, value, variance, num_cases) - - def retrieve_info(self, get_qtl_info=False): - assert self.dataset, "Dataset doesn't exist" - if self.dataset.type == 'Publish': - query = """ - SELECT - PublishXRef.Id, Publication.PubMed_ID, - Phenotype.Pre_publication_description, Phenotype.Post_publication_description, Phenotype.Original_description, - Phenotype.Pre_publication_abbreviation, Phenotype.Post_publication_abbreviation, - Phenotype.Lab_code, Phenotype.Submitter, Phenotype.Owner, Phenotype.Authorized_Users, - Publication.Authors, Publication.Title, Publication.Abstract, - Publication.Journal, Publication.Volume, Publication.Pages, - Publication.Month, Publication.Year, PublishXRef.Sequence, - Phenotype.Units, PublishXRef.comments - FROM - PublishXRef, Publication, Phenotype, PublishFreeze - WHERE - PublishXRef.Id = %s AND - Phenotype.Id = PublishXRef.PhenotypeId AND - Publication.Id = PublishXRef.PublicationId AND - PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND - PublishFreeze.Id = %s - """ % (self.name, self.dataset.id) - - logger.sql(query) - trait_info = g.db.execute(query).fetchone() - - - #XZ, 05/08/2009: Xiaodong add this block to use ProbeSet.Id to find the probeset instead of just using ProbeSet.Name - #XZ, 05/08/2009: to avoid the problem of same probeset name from different platforms. - elif self.dataset.type == 'ProbeSet': - display_fields_string = ', ProbeSet.'.join(self.dataset.display_fields) - display_fields_string = 'ProbeSet.' + display_fields_string - query = """ - SELECT %s - FROM ProbeSet, ProbeSetFreeze, ProbeSetXRef - WHERE - ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND - ProbeSetXRef.ProbeSetId = ProbeSet.Id AND - ProbeSetFreeze.Name = '%s' AND - ProbeSet.Name = '%s' - """ % (escape(display_fields_string), - escape(self.dataset.name), - escape(str(self.name))) - logger.sql(query) - trait_info = g.db.execute(query).fetchone() - #XZ, 05/08/2009: We also should use Geno.Id to find marker instead of just using Geno.Name - # to avoid the problem of same marker name from different species. - elif self.dataset.type == 'Geno': - display_fields_string = string.join(self.dataset.display_fields,',Geno.') - display_fields_string = 'Geno.' + display_fields_string - query = """ - SELECT %s - FROM Geno, GenoFreeze, GenoXRef - WHERE - GenoXRef.GenoFreezeId = GenoFreeze.Id AND - GenoXRef.GenoId = Geno.Id AND - GenoFreeze.Name = '%s' AND - Geno.Name = '%s' - """ % (escape(display_fields_string), - escape(self.dataset.name), - escape(self.name)) - logger.sql(query) - trait_info = g.db.execute(query).fetchone() - else: #Temp type - query = """SELECT %s FROM %s WHERE Name = %s""" - logger.sql(query) - trait_info = g.db.execute(query, - (string.join(self.dataset.display_fields,','), - self.dataset.type, self.name)).fetchone() - if trait_info: - self.haveinfo = True - - #XZ: assign SQL query result to trait attributes. - for i, field in enumerate(self.dataset.display_fields): - holder = trait_info[i] - if isinstance(trait_info[i], basestring): - holder = unicode(trait_info[i], "utf8", "ignore") - setattr(self, field, holder) - - if self.dataset.type == 'Publish': - self.confidential = 0 - if self.pre_publication_description and not self.pubmed_id: - self.confidential = 1 - - description = self.post_publication_description - - #If the dataset is confidential and the user has access to confidential - #phenotype traits, then display the pre-publication description instead - #of the post-publication description - if self.confidential: - self.description_display = self.pre_publication_description - - #if not webqtlUtil.hasAccessToConfidentialPhenotypeTrait( - # privilege=self.dataset.privilege, - # userName=self.dataset.userName, - # authorized_users=self.authorized_users): - # - # description = self.pre_publication_description - else: - if description: - self.description_display = description.strip() - else: - self.description_display = "" - - if not self.year.isdigit(): - self.pubmed_text = "N/A" - else: - self.pubmed_text = self.year - - if self.pubmed_id: - self.pubmed_link = webqtlConfig.PUBMEDLINK_URL % self.pubmed_id - - - self.homologeneid = None - if self.dataset.type == 'ProbeSet' and self.dataset.group: - if self.geneid: - #XZ, 05/26/2010: From time to time, this query get error message because some geneid values in database are not number. - #XZ: So I have to test if geneid is number before execute the query. - #XZ: The geneid values in database should be cleaned up. - #try: - # float(self.geneid) - # geneidIsNumber = True - #except ValueError: - # geneidIsNumber = False - #if geneidIsNumber: - query = """ - SELECT - HomologeneId - FROM - Homologene, Species, InbredSet - WHERE - Homologene.GeneId ='%s' AND - InbredSet.Name = '%s' AND - InbredSet.SpeciesId = Species.Id AND - Species.TaxonomyId = Homologene.TaxonomyId - """ % (escape(str(self.geneid)), escape(self.dataset.group.name)) - logger.sql(query) - result = g.db.execute(query).fetchone() - #else: - # result = None - - if result: - self.homologeneid = result[0] - - description_string = unicode(str(self.description).strip(codecs.BOM_UTF8), 'utf-8') - target_string = unicode(str(self.probe_target_description).strip(codecs.BOM_UTF8), 'utf-8') - - if len(description_string) > 1 and description_string != 'None': - description_display = description_string - else: - description_display = self.symbol - - if (len(description_display) > 1 and description_display != 'N/A' and - len(target_string) > 1 and target_string != 'None'): - description_display = description_display + '; ' + target_string.strip() - - # Save it for the jinja2 template - self.description_display = description_display - - #XZ: trait_location_value is used for sorting - trait_location_repr = 'N/A' - trait_location_value = 1000000 - - if self.chr and self.mb: - #Checks if the chromosome number can be cast to an int (i.e. isn't "X" or "Y") - #This is so we can convert the location to a number used for sorting - trait_location_value = convert_location_to_value(self.chr, self.mb) - #try: - # trait_location_value = int(self.chr)*1000 + self.mb - #except ValueError: - # if self.chr.upper() == 'X': - # trait_location_value = 20*1000 + self.mb - # else: - # trait_location_value = (ord(str(self.chr).upper()[0])*1000 + - # self.mb) - - #ZS: Put this in function currently called "convert_location_to_value" - self.location_repr = 'Chr%s: %.6f' % (self.chr, float(self.mb)) - self.location_value = trait_location_value - - - if get_qtl_info: - #LRS and its location - self.LRS_score_repr = "N/A" - self.LRS_score_value = 0 - self.LRS_location_repr = "N/A" - self.LRS_location_value = 1000000 - if self.dataset.type == 'ProbeSet' and not self.cellid: - query = """ - SELECT - ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.mean, ProbeSetXRef.additive - FROM - ProbeSetXRef, ProbeSet - WHERE - ProbeSetXRef.ProbeSetId = ProbeSet.Id AND - ProbeSet.Name = "{}" AND - ProbeSetXRef.ProbeSetFreezeId ={} - """.format(self.name, self.dataset.id) - logger.sql(query) - trait_qtl = g.db.execute(query).fetchone() - if trait_qtl: - self.locus, self.lrs, self.pvalue, self.mean, self.additive= trait_qtl - if self.locus: - query = """ - select Geno.Chr, Geno.Mb from Geno, Species - where Species.Name = '{}' and - Geno.Name = '{}' and - Geno.SpeciesId = Species.Id - """.format(self.dataset.group.species, self.locus) - logger.sql(query) - result = g.db.execute(query).fetchone() - if result: - self.locus_chr = result[0] - self.locus_mb = result[1] - else: - self.locus = self.locus_chr = self.locus_mb = self.additive = "" - else: - self.locus = self.locus_chr = self.locus_mb = self.additive = "" - else: - self.locus = self.locus_chr = self.locus_mb = self.lrs = self.pvalue = self.mean = self.additive = "" - - - if self.dataset.type == 'Publish': - query = """ - SELECT - PublishXRef.Locus, PublishXRef.LRS, PublishXRef.additive - FROM - PublishXRef, PublishFreeze - WHERE - PublishXRef.Id = %s AND - PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND - PublishFreeze.Id =%s - """ % (self.name, self.dataset.id) - logger.sql(query) - trait_qtl = g.db.execute(query).fetchone() - if trait_qtl: - self.locus, self.lrs, self.additive = trait_qtl - if self.locus: - query = """ - select Geno.Chr, Geno.Mb from Geno, Species - where Species.Name = '{}' and - Geno.Name = '{}' and - Geno.SpeciesId = Species.Id - """.format(self.dataset.group.species, self.locus) - logger.sql(query) - result = g.db.execute(query).fetchone() - if result: - self.locus_chr = result[0] - self.locus_mb = result[1] - else: - self.locus = self.locus_chr = self.locus_mb = self.additive = "" - else: - self.locus = self.locus_chr = self.locus_mb = self.additive = "" - else: - self.locus = self.lrs = self.additive = "" - - if (self.dataset.type == 'Publish' or self.dataset.type == "ProbeSet") and self.locus_chr != "" and self.locus_mb != "": - #XZ: LRS_location_value is used for sorting - try: - LRS_location_value = int(self.locus_chr)*1000 + float(self.locus_mb) - except: - if self.locus_chr.upper() == 'X': - LRS_location_value = 20*1000 + float(self.locus_mb) - else: - LRS_location_value = ord(str(self.locus_chr).upper()[0])*1000 + float(self.locus_mb) - - self.LRS_location_repr = LRS_location_repr = 'Chr%s: %.6f' % (self.locus_chr, float(self.locus_mb)) - if self.lrs != "": - self.LRS_score_repr = LRS_score_repr = '%3.1f' % self.lrs - self.LRS_score_value = LRS_score_value = self.lrs - else: - raise KeyError, `self.name`+' information is not found in the database.' - - def genHTML(self, formName = "", dispFromDatabase=0, privilege="guest", userName="Guest", authorized_users=""): - if not self.haveinfo: - self.retrieveInfo() - - if self.dataset.type == 'Publish': - PubMedLink = "" - if self.pubmed_id: - PubMedLink = HT.Href(text="PubMed %d : " % self.pubmed_id, - target = "_blank", url = webqtlConfig.PUBMEDLINK_URL % self.pubmed_id) - else: - PubMedLink = HT.Span("Unpublished : ", Class="fs15") - - if formName: - setDescription2 = HT.Href(url="javascript:showDatabase3('%s','%s','%s','')" % - (formName, self.dataset.name, self.name), Class = "fs14") - else: - setDescription2 = HT.Href(url="javascript:showDatabase2('%s','%s','')" % - (self.dataset.name,self.name), Class = "fs14") - - if self.confidential and not webqtlUtil.hasAccessToConfidentialPhenotypeTrait(privilege=privilege, userName=userName, authorized_users=authorized_users): - setDescription2.append('RecordID/%s - %s' % (self.name, self.pre_publication_description)) - else: - setDescription2.append('RecordID/%s - %s' % (self.name, self.post_publication_description)) - - #XZ 03/26/2011: Xiaodong comment out the following two lins as Rob asked. Need to check with Rob why in PublishXRef table, there are few row whose Sequence > 1. - #if self.sequence > 1: - # setDescription2.append(' btach %d' % self.sequence) - if self.authors: - a1 = string.split(self.authors,',')[0] - while a1[0] == '"' or a1[0] == "'" : - a1 = a1[1:] - setDescription2.append(' by ') - setDescription2.append(HT.Italic('%s, and colleagues' % a1)) - setDescription = HT.Span(PubMedLink, setDescription2) - - elif self.dataset.type == 'Temp': - setDescription = HT.Href(text="%s" % (self.description),url="javascript:showDatabase2\ - ('%s','%s','')" % (self.dataset.name,self.name), Class = "fs14") - setDescription = HT.Span(setDescription) - - elif self.dataset.type == 'Geno': # Genome DB only available for single search - if formName: - setDescription = HT.Href(text="Locus %s [Chr %s @ %s Mb]" % (self.name,self.chr,\ - '%2.3f' % self.mb),url="javascript:showDatabase3('%s','%s','%s','')" % \ - (formName, self.dataset.name, self.name), Class = "fs14") - else: - setDescription = HT.Href(text="Locus %s [Chr %s @ %s Mb]" % (self.name,self.chr,\ - '%2.3f' % self.mb),url="javascript:showDatabase2('%s','%s','')" % \ - (self.dataset.name,self.name), Class = "fs14") - - setDescription = HT.Span(setDescription) - - else: - if self.cellid: - if formName: - setDescription = HT.Href(text="ProbeSet/%s/%s" % (self.name, self.cellid),url=\ - "javascript:showDatabase3('%s','%s','%s','%s')" % (formName, self.dataset.name,self.name,self.cellid), \ - Class = "fs14") - else: - setDescription = HT.Href(text="ProbeSet/%s/%s" % (self.name,self.cellid),url=\ - "javascript:showDatabase2('%s','%s','%s')" % (self.dataset.name,self.name,self.cellid), \ - Class = "fs14") - else: - if formName: - setDescription = HT.Href(text="ProbeSet/%s" % self.name, url=\ - "javascript:showDatabase3('%s','%s','%s','')" % (formName, self.dataset.name,self.name), \ - Class = "fs14") - else: - setDescription = HT.Href(text="ProbeSet/%s" % self.name, url=\ - "javascript:showDatabase2('%s','%s','')" % (self.dataset.name,self.name), \ - Class = "fs14") - if self.symbol and self.chr and self.mb: - setDescription.append(' [') - setDescription.append(HT.Italic('%s' % self.symbol,Class="cdg fwb")) - setDescription.append(' on Chr %s @ %s Mb]' % (self.chr,self.mb)) - if self.description: - setDescription.append(': %s' % self.description) - if self.probe_target_description: - setDescription.append('; %s' % self.probe_target_description) - setDescription = HT.Span(setDescription) - - if self.dataset.type != 'Temp' and dispFromDatabase: - setDescription.append( ' --- FROM : ') - setDescription.append(self.dataset.genHTML(Class='cori')) - return setDescription - @property def name_header_fmt(self): '''Return a human-readable name for use in page header''' @@ -644,7 +207,7 @@ class GeneralTrait(object): formatted = self.post_publication_description else: formatted = "Not available" - return formatted.capitalize() + return formatted @property def alias_fmt(self): @@ -682,62 +245,48 @@ class GeneralTrait(object): return fmt - - def get_database(self): - """ - Returns the database, and the url referring to the database if it exists - - We're going to to return two values here, and we don't want to have to call this twice from - the template. So it's not a property called from the template, but instead is called from the view - - """ - if self.cellid: - query = """ select ProbeFreeze.Name from ProbeFreeze, ProbeSetFreeze where - ProbeFreeze.Id = - ProbeSetFreeze.ProbeFreezeId AND - ProbeSetFreeze.Id = %d""" % thisTrait.dataset.id - logger.sql(query) - probeDBName = g.db.execute(query).fetchone()[0] - return dict(name = probeDBName, - url = None) - else: - return dict(name = self.dataset.fullname, - url = webqtlConfig.INFOPAGEHREF % self.dataset.name) - - def calculate_correlation(self, values, method): - """Calculate the correlation value and p value according to the method specified""" - - #ZS: This takes the list of values of the trait our selected trait is being correlated against and removes the values of the samples our trait has no value for - #There's probably a better way of dealing with this, but I'll have to ask Christian - updated_raw_values = [] - updated_values = [] - for i in range(len(values)): - if values[i] != "None": - updated_raw_values.append(self.raw_values[i]) - updated_values.append(values[i]) - - self.raw_values = updated_raw_values - values = updated_values - - if method == METHOD_SAMPLE_PEARSON or method == METHOD_LIT or method == METHOD_TISSUE_PEARSON: - corr, nOverlap = webqtlUtil.calCorrelation(self.raw_values, values, len(values)) - else: - corr, nOverlap = webqtlUtil.calCorrelationRank(self.raw_values, values, len(values)) - - self.correlation = corr - self.overlap = nOverlap - - if self.overlap < 3: - self.p_value = 1.0 - else: - #ZS - This is probably the wrong way to deal with this. Correlation values of 1.0 definitely exist (the trait correlated against itself), so zero division needs to br prevented. - if abs(self.correlation) >= 1.0: - self.p_value = 0.0 - else: - ZValue = 0.5*log((1.0+self.correlation)/(1.0-self.correlation)) - ZValue = ZValue*sqrt(self.overlap-3) - self.p_value = 2.0*(1.0 - reaper.normp(abs(ZValue))) - +# In ProbeSet, there are maybe several annotations match one sequence +# so we need use sequence(BlatSeq) as the identification, when we update +# one annotation, we update the others who match the sequence also. +# +# Hongqiang Li, 3/3/2008 +def getSequence(trait, dataset_name): + dataset = create_dataset(dataset_name) + + if dataset.type == 'ProbeSet': + results = g.db.execute(''' + SELECT + ProbeSet.BlatSeq + FROM + ProbeSet, ProbeSetFreeze, ProbeSetXRef + WHERE + ProbeSet.Id=ProbeSetXRef.ProbeSetId and + ProbeSetFreeze.Id = ProbeSetXRef.ProbSetFreezeId and + ProbeSet.Name = %s + ProbeSetFreeze.Name = %s + ''', trait.name, dataset.name).fetchone() + + return results[0] + +def retrieve_sample_data(trait, dataset, samplelist=None): + if samplelist == None: + samplelist = [] + + results = dataset.retrieve_sample_data(trait.name) + + # Todo: is this necessary? If not remove + trait.data.clear() + + all_samples_ordered = dataset.group.all_samples_ordered() + + if results: + for item in results: + name, value, variance, num_cases, name2 = item + if not samplelist or (samplelist and name in samplelist): + trait.data[name] = webqtlCaseData(*item) #name, value, variance, num_cases) + + return trait + def convert_location_to_value(chromosome, mb): try: location_value = int(chromosome)*1000 + float(mb) @@ -765,3 +314,398 @@ def get_sample_data(): # jsonable_sample_data[sample] = trait_ob.data[sample].value # #return jsonable_sample_data + +def jsonable(trait, dataset_name): + """Return a dict suitable for using as json + + Actual turning into json doesn't happen here though""" + + dataset = create_dataset(dataset_name) + + if dataset.type == "ProbeSet": + return dict(name=trait.name, + symbol=trait.symbol, + dataset=dataset.name, + description=trait.description_display, + mean=trait.mean, + location=trait.location_repr, + lrs_score=trait.LRS_score_repr, + lrs_location=trait.LRS_location_repr, + additive=trait.additive + ) + elif dataset.type == "Publish": + if trait.pubmed_id: + return dict(name=trait.name, + dataset=dataset.name, + description=trait.description_display, + authors=trait.authors, + pubmed_text=trait.pubmed_text, + pubmed_link=trait.pubmed_link, + lrs_score=trait.LRS_score_repr, + lrs_location=trait.LRS_location_repr, + additive=trait.additive + ) + else: + return dict(name=trait.name, + dataset=dataset.name, + description=trait.description_display, + authors=trait.authors, + pubmed_text=trait.pubmed_text, + lrs_score=trait.LRS_score_repr, + lrs_location=trait.LRS_location_repr, + additive=trait.additive + ) + elif dataset.type == "Geno": + return dict(name=trait.name, + dataset=dataset.name, + location=trait.location_repr + ) + else: + return dict() + +def jsonable_table_row(trait, dataset_name, index): + """Return a list suitable for json and intended to be displayed in a table + + Actual turning into json doesn't happen here though""" + + dataset = create_dataset(dataset_name) + + if dataset.type == "ProbeSet": + if trait.mean == "": + mean = "N/A" + else: + mean = "%.3f" % round(float(trait.mean), 2) + if trait.additive == "": + additive = "N/A" + else: + additive = "%.3f" % round(float(trait.additive), 2) + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + index, + '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', + trait.symbol, + trait.description_display, + trait.location_repr, + mean, + trait.LRS_score_repr, + trait.LRS_location_repr, + additive] + elif dataset.type == "Publish": + if trait.additive == "": + additive = "N/A" + else: + additive = "%.2f" % round(float(trait.additive), 2) + if trait.pubmed_id: + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + index, + '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', + trait.description_display, + trait.authors, + '<a href="' + trait.pubmed_link + '">' + trait.pubmed_text + '</href>', + trait.LRS_score_repr, + trait.LRS_location_repr, + additive] + else: + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + index, + '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', + trait.description_display, + trait.authors, + trait.pubmed_text, + trait.LRS_score_repr, + trait.LRS_location_repr, + additive] + elif dataset.type == "Geno": + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + index, + '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', + trait.location_repr] + else: + return dict() + +def retrieve_trait_info(trait, dataset, get_qtl_info=False): + assert dataset, "Dataset doesn't exist" + + if dataset.type == 'Publish': + query = """ + SELECT + PublishXRef.Id, Publication.PubMed_ID, + Phenotype.Pre_publication_description, Phenotype.Post_publication_description, Phenotype.Original_description, + Phenotype.Pre_publication_abbreviation, Phenotype.Post_publication_abbreviation, + Phenotype.Lab_code, Phenotype.Submitter, Phenotype.Owner, Phenotype.Authorized_Users, + Publication.Authors, Publication.Title, Publication.Abstract, + Publication.Journal, Publication.Volume, Publication.Pages, + Publication.Month, Publication.Year, PublishXRef.Sequence, + Phenotype.Units, PublishXRef.comments + FROM + PublishXRef, Publication, Phenotype, PublishFreeze + WHERE + PublishXRef.Id = %s AND + Phenotype.Id = PublishXRef.PhenotypeId AND + Publication.Id = PublishXRef.PublicationId AND + PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND + PublishFreeze.Id = %s + """ % (trait.name, dataset.id) + + logger.sql(query) + trait_info = g.db.execute(query).fetchone() + + + #XZ, 05/08/2009: Xiaodong add this block to use ProbeSet.Id to find the probeset instead of just using ProbeSet.Name + #XZ, 05/08/2009: to avoid the problem of same probeset name from different platforms. + elif dataset.type == 'ProbeSet': + display_fields_string = ', ProbeSet.'.join(dataset.display_fields) + display_fields_string = 'ProbeSet.' + display_fields_string + query = """ + SELECT %s + FROM ProbeSet, ProbeSetFreeze, ProbeSetXRef + WHERE + ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND + ProbeSetXRef.ProbeSetId = ProbeSet.Id AND + ProbeSetFreeze.Name = '%s' AND + ProbeSet.Name = '%s' + """ % (escape(display_fields_string), + escape(dataset.name), + escape(str(trait.name))) + logger.sql(query) + trait_info = g.db.execute(query).fetchone() + #XZ, 05/08/2009: We also should use Geno.Id to find marker instead of just using Geno.Name + # to avoid the problem of same marker name from different species. + elif dataset.type == 'Geno': + display_fields_string = string.join(dataset.display_fields,',Geno.') + display_fields_string = 'Geno.' + display_fields_string + query = """ + SELECT %s + FROM Geno, GenoFreeze, GenoXRef + WHERE + GenoXRef.GenoFreezeId = GenoFreeze.Id AND + GenoXRef.GenoId = Geno.Id AND + GenoFreeze.Name = '%s' AND + Geno.Name = '%s' + """ % (escape(display_fields_string), + escape(dataset.name), + escape(trait.name)) + logger.sql(query) + trait_info = g.db.execute(query).fetchone() + else: #Temp type + query = """SELECT %s FROM %s WHERE Name = %s""" + logger.sql(query) + trait_info = g.db.execute(query, + (string.join(dataset.display_fields,','), + dataset.type, trait.name)).fetchone() + if trait_info: + trait.haveinfo = True + + #XZ: assign SQL query result to trait attributes. + for i, field in enumerate(dataset.display_fields): + holder = trait_info[i] + if isinstance(trait_info[i], basestring): + holder = unicode(trait_info[i], "utf-8", "ignore") + setattr(trait, field, holder) + + if dataset.type == 'Publish': + trait.confidential = 0 + if trait.pre_publication_description and not trait.pubmed_id: + trait.confidential = 1 + + description = trait.post_publication_description + + #If the dataset is confidential and the user has access to confidential + #phenotype traits, then display the pre-publication description instead + #of the post-publication description + if trait.confidential: + trait.description_display = trait.pre_publication_description + + #if not webqtlUtil.hasAccessToConfidentialPhenotypeTrait( + # privilege=self.dataset.privilege, + # userName=self.dataset.userName, + # authorized_users=self.authorized_users): + # + # description = self.pre_publication_description + else: + if description: + trait.description_display = description.strip() + else: + trait.description_display = "" + + if not trait.year.isdigit(): + trait.pubmed_text = "N/A" + else: + trait.pubmed_text = trait.year + + if trait.pubmed_id: + trait.pubmed_link = webqtlConfig.PUBMEDLINK_URL % trait.pubmed_id + + + trait.homologeneid = None + if dataset.type == 'ProbeSet' and dataset.group: + if trait.geneid: + #XZ, 05/26/2010: From time to time, this query get error message because some geneid values in database are not number. + #XZ: So I have to test if geneid is number before execute the query. + #XZ: The geneid values in database should be cleaned up. + #try: + # float(self.geneid) + # geneidIsNumber = True + #except ValueError: + # geneidIsNumber = False + #if geneidIsNumber: + query = """ + SELECT + HomologeneId + FROM + Homologene, Species, InbredSet + WHERE + Homologene.GeneId ='%s' AND + InbredSet.Name = '%s' AND + InbredSet.SpeciesId = Species.Id AND + Species.TaxonomyId = Homologene.TaxonomyId + """ % (escape(str(trait.geneid)), escape(dataset.group.name)) + logger.sql(query) + result = g.db.execute(query).fetchone() + #else: + # result = None + + if result: + trait.homologeneid = result[0] + + description_string = unicode(str(trait.description).strip(codecs.BOM_UTF8), 'utf-8') + target_string = unicode(str(trait.probe_target_description).strip(codecs.BOM_UTF8), 'utf-8') + + if len(description_string) > 1 and description_string != 'None': + description_display = description_string + else: + description_display = trait.symbol + + if (len(description_display) > 1 and description_display != 'N/A' and + len(target_string) > 1 and target_string != 'None'): + description_display = description_display + '; ' + target_string.strip() + + # Save it for the jinja2 template + trait.description_display = description_display + + #XZ: trait_location_value is used for sorting + trait.location_repr = 'N/A' + trait.location_value = 1000000 + + if trait.chr and trait.mb: + #Checks if the chromosome number can be cast to an int (i.e. isn't "X" or "Y") + #This is so we can convert the location to a number used for sorting + trait_location_value = convert_location_to_value(trait.chr, trait.mb) + #try: + # trait_location_value = int(self.chr)*1000 + self.mb + #except ValueError: + # if self.chr.upper() == 'X': + # trait_location_value = 20*1000 + self.mb + # else: + # trait_location_value = (ord(str(self.chr).upper()[0])*1000 + + # self.mb) + + #ZS: Put this in function currently called "convert_location_to_value" + trait.location_repr = 'Chr%s: %.6f' % (trait.chr, float(trait.mb)) + trait.location_value = trait_location_value + + elif dataset.type == "Geno": + trait.location_repr = 'N/A' + trait.location_value = 1000000 + + if trait.chr and trait.mb: + #Checks if the chromosome number can be cast to an int (i.e. isn't "X" or "Y") + #This is so we can convert the location to a number used for sorting + trait_location_value = convert_location_to_value(trait.chr, trait.mb) + + #ZS: Put this in function currently called "convert_location_to_value" + trait.location_repr = 'Chr%s: %.6f' % (trait.chr, float(trait.mb)) + trait.location_value = trait_location_value + + if get_qtl_info: + #LRS and its location + trait.LRS_score_repr = "N/A" + trait.LRS_score_value = 0 + trait.LRS_location_repr = "N/A" + trait.LRS_location_value = 1000000 + if dataset.type == 'ProbeSet' and not trait.cellid: + query = """ + SELECT + ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.mean, ProbeSetXRef.additive + FROM + ProbeSetXRef, ProbeSet + WHERE + ProbeSetXRef.ProbeSetId = ProbeSet.Id AND + ProbeSet.Name = "{}" AND + ProbeSetXRef.ProbeSetFreezeId ={} + """.format(trait.name, dataset.id) + logger.sql(query) + trait_qtl = g.db.execute(query).fetchone() + if trait_qtl: + trait.locus, trait.lrs, trait.pvalue, trait.mean, trait.additive = trait_qtl + if trait.locus: + query = """ + select Geno.Chr, Geno.Mb from Geno, Species + where Species.Name = '{}' and + Geno.Name = '{}' and + Geno.SpeciesId = Species.Id + """.format(dataset.group.species, trait.locus) + logger.sql(query) + result = g.db.execute(query).fetchone() + if result: + trait.locus_chr = result[0] + trait.locus_mb = result[1] + else: + trait.locus = trait.locus_chr = trait.locus_mb = trait.additive = "" + else: + trait.locus = trait.locus_chr = trait.locus_mb = trait.additive = "" + else: + trait.locus = trait.locus_chr = trait.locus_mb = trait.lrs = trait.pvalue = trait.mean = trait.additive = "" + + + if dataset.type == 'Publish': + query = """ + SELECT + PublishXRef.Locus, PublishXRef.LRS, PublishXRef.additive + FROM + PublishXRef, PublishFreeze + WHERE + PublishXRef.Id = %s AND + PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND + PublishFreeze.Id =%s + """ % (trait.name, dataset.id) + logger.sql(query) + trait_qtl = g.db.execute(query).fetchone() + if trait_qtl: + trait.locus, trait.lrs, trait.additive = trait_qtl + if trait.locus: + query = """ + select Geno.Chr, Geno.Mb from Geno, Species + where Species.Name = '{}' and + Geno.Name = '{}' and + Geno.SpeciesId = Species.Id + """.format(dataset.group.species, trait.locus) + logger.sql(query) + result = g.db.execute(query).fetchone() + if result: + trait.locus_chr = result[0] + trait.locus_mb = result[1] + else: + trait.locus = trait.locus_chr = trait.locus_mb = trait.additive = "" + else: + trait.locus = trait.locus_chr = trait.locus_mb = trait.additive = "" + else: + trait.locus = trait.lrs = trait.additive = "" + + if (dataset.type == 'Publish' or dataset.type == "ProbeSet") and trait.locus_chr != "" and trait.locus_mb != "": + #XZ: LRS_location_value is used for sorting + try: + LRS_location_value = int(trait.locus_chr)*1000 + float(trait.locus_mb) + except: + if trait.locus_chr.upper() == 'X': + LRS_location_value = 20*1000 + float(trait.locus_mb) + else: + LRS_location_value = ord(str(trait.locus_chr).upper()[0])*1000 + float(trait.locus_mb) + + trait.LRS_location_repr = LRS_location_repr = 'Chr%s: %.6f' % (trait.locus_chr, float(trait.locus_mb)) + if trait.lrs != "": + trait.LRS_score_repr = LRS_score_repr = '%3.1f' % trait.lrs + trait.LRS_score_value = LRS_score_value = trait.lrs + else: + raise KeyError, `trait.name`+' information is not found in the database.' + + return trait
\ No newline at end of file diff --git a/wqflask/base/webqtlCaseData.py b/wqflask/base/webqtlCaseData.py index 2f88f778..845a7224 100644 --- a/wqflask/base/webqtlCaseData.py +++ b/wqflask/base/webqtlCaseData.py @@ -44,15 +44,15 @@ class webqtlCaseData(object): def __repr__(self): str = "<webqtlCaseData> " - if self.value != None: + if self.value: str += "value=%2.3f" % self.value - if self.variance != None: + if self.variance: str += " variance=%2.3f" % self.variance - if self.num_cases != None: + if self.num_cases: str += " ndata=%d" % self.num_cases - if self.name != None: + if self.name: str += " name=%s" % self.name - if self.name2 != None: + if self.name2: str += " name2=%s" % self.name2 return str diff --git a/wqflask/maintenance/gen_select_dataset.py b/wqflask/maintenance/gen_select_dataset.py index 542c0d83..e5726656 100644 --- a/wqflask/maintenance/gen_select_dataset.py +++ b/wqflask/maintenance/gen_select_dataset.py @@ -95,13 +95,13 @@ def get_groups(species): for species_name, _species_full_name in species: Cursor.execute("""select InbredSet.Name, InbredSet.FullName from InbredSet, Species, - ProbeFreeze, GenoFreeze, PublishFreeze where Species.Name = %s + ProbeFreeze, GenoFreeze, PublishFreeze where Species.Name = '%s' and InbredSet.SpeciesId = Species.Id and InbredSet.Name != 'BXD300' and (PublishFreeze.InbredSetId = InbredSet.Id or GenoFreeze.InbredSetId = InbredSet.Id or ProbeFreeze.InbredSetId = InbredSet.Id) group by InbredSet.Name - order by InbredSet.Name""", (species_name)) + order by InbredSet.Name""" % species_name) groups[species_name] = list(Cursor.fetchall()) return groups @@ -133,7 +133,7 @@ def get_types(groups): def phenotypes_exist(group_name): #print("group_name:", group_name) Cursor.execute("""select Name from PublishFreeze - where PublishFreeze.Name = %s""", (group_name+"Publish")) + where PublishFreeze.Name = '%s'""" % (group_name+"Publish")) results = Cursor.fetchone() #print("RESULTS:", results) @@ -146,7 +146,7 @@ def phenotypes_exist(group_name): def genotypes_exist(group_name): #print("group_name:", group_name) Cursor.execute("""select Name from GenoFreeze - where GenoFreeze.Name = %s""", (group_name+"Geno")) + where GenoFreeze.Name = '%s'""" % (group_name+"Geno")) results = Cursor.fetchone() #print("RESULTS:", results) @@ -166,13 +166,14 @@ def build_types(species, group): Cursor.execute("""select distinct Tissue.Name from ProbeFreeze, ProbeSetFreeze, InbredSet, Tissue, Species - where Species.Name = %s and Species.Id = InbredSet.SpeciesId and - InbredSet.Name = %s and + where Species.Name = '%s' and Species.Id = InbredSet.SpeciesId and + InbredSet.Name = '%s' and ProbeFreeze.TissueId = Tissue.Id and ProbeFreeze.InbredSetId = InbredSet.Id and ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and - ProbeSetFreeze.public > 0 - order by Tissue.Name""", (species, group)) + ProbeSetFreeze.public > 0 and + ProbeSetFreeze.confidentiality < 1 + order by Tissue.Name""" % (species, group)) results = [] for result in Cursor.fetchall(): @@ -205,12 +206,12 @@ def build_datasets(species, group, type_name): if type_name == "Phenotypes": print("GROUP:", group) Cursor.execute("""select InfoFiles.GN_AccesionId from InfoFiles, PublishFreeze, InbredSet where - InbredSet.Name = %s and + InbredSet.Name = '%s' and PublishFreeze.InbredSetId = InbredSet.Id and InfoFiles.InfoPageName = PublishFreeze.Name and PublishFreeze.public > 0 and PublishFreeze.confidentiality < 1 order by - PublishFreeze.CreateTime desc""", (group)) + PublishFreeze.CreateTime desc""" % group) results = Cursor.fetchone() if results != None: @@ -225,12 +226,12 @@ def build_datasets(species, group, type_name): elif type_name == "Genotypes": Cursor.execute("""select InfoFiles.GN_AccesionId from InfoFiles, GenoFreeze, InbredSet where - InbredSet.Name = %s and + InbredSet.Name = '%s' and GenoFreeze.InbredSetId = InbredSet.Id and InfoFiles.InfoPageName = GenoFreeze.ShortName and GenoFreeze.public > 0 and GenoFreeze.confidentiality < 1 order by - GenoFreeze.CreateTime desc""", (group)) + GenoFreeze.CreateTime desc""" % group) results = Cursor.fetchone() if results != None: @@ -245,12 +246,12 @@ def build_datasets(species, group, type_name): else: Cursor.execute("""select ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.FullName from ProbeSetFreeze, ProbeFreeze, InbredSet, Tissue, Species where - Species.Name = %s and Species.Id = InbredSet.SpeciesId and - InbredSet.Name = %s and - ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and Tissue.Name = %s and + Species.Name = '%s' and Species.Id = InbredSet.SpeciesId and + InbredSet.Name = '%s' and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and Tissue.Name = '%s' and ProbeFreeze.TissueId = Tissue.Id and ProbeFreeze.InbredSetId = InbredSet.Id and ProbeSetFreeze.confidentiality < 1 and ProbeSetFreeze.public > 0 order by - ProbeSetFreeze.CreateTime desc""", (species, group, type_name)) + ProbeSetFreeze.CreateTime desc""" % (species, group, type_name)) dataset_results = Cursor.fetchall() datasets = [] diff --git a/wqflask/maintenance/get_group_samplelists.py b/wqflask/maintenance/get_group_samplelists.py index 2d48ce78..04e94886 100644 --- a/wqflask/maintenance/get_group_samplelists.py +++ b/wqflask/maintenance/get_group_samplelists.py @@ -51,6 +51,6 @@ def get_samplelist_from_plink(genofilename): samplelist = [] for line in genofile: line = line.split(" ") - samplelist.append(line[0]) + samplelist.append(line[1]) return samplelist diff --git a/wqflask/utility/helper_functions.py b/wqflask/utility/helper_functions.py index 377f6b26..cf16879f 100644 --- a/wqflask/utility/helper_functions.py +++ b/wqflask/utility/helper_functions.py @@ -5,6 +5,9 @@ from base import data_set from base.species import TheSpecies from wqflask import user_manager + +from flask import Flask, g + import logging logger = logging.getLogger(__name__ ) @@ -41,3 +44,20 @@ def get_trait_db_obs(self, trait_db_list): name=trait_name, cellid=None) self.trait_list.append((trait_ob, dataset_ob)) + +def get_species_groups(): + + species_query = "SELECT SpeciesId, MenuName FROM Species" + species_ids_and_names = g.db.execute(species_query).fetchall() + + species_and_groups = [] + for species_id, species_name in species_ids_and_names: + this_species_groups = {} + this_species_groups['species'] = species_name + groups_query = "SELECT InbredSetName FROM InbredSet WHERE SpeciesId = %s" % (species_id) + groups = [group[0] for group in g.db.execute(groups_query).fetchall()] + + this_species_groups['groups'] = groups + species_and_groups.append(this_species_groups) + + return species_and_groups diff --git a/wqflask/utility/tools.py b/wqflask/utility/tools.py index 9860f63e..82ef136f 100644 --- a/wqflask/utility/tools.py +++ b/wqflask/utility/tools.py @@ -217,9 +217,11 @@ USE_REDIS = get_setting_bool('USE_REDIS') USE_GN_SERVER = get_setting_bool('USE_GN_SERVER') GENENETWORK_FILES = get_setting('GENENETWORK_FILES') +TEMP_TRAITS = get_setting('TEMP_TRAITS') PYLMM_COMMAND = pylmm_command() GEMMA_COMMAND = gemma_command() +GEMMA_RESULTS_PATH = get_setting('GEMMA_RESULTS_PATH') PLINK_COMMAND = plink_command() TEMPDIR = tempdir() # defaults to UNIX TMPDIR diff --git a/wqflask/wqflask/collect.py b/wqflask/wqflask/collect.py index 70ae2a1c..ba555094 100644 --- a/wqflask/wqflask/collect.py +++ b/wqflask/wqflask/collect.py @@ -34,6 +34,7 @@ from utility import Bunch, Struct from utility.formatting import numify from base import trait +from base.data_set import create_dataset def get_collection(): if g.user_session.logged_in: @@ -375,12 +376,13 @@ def view_collection(): for atrait in traits: name, dataset_name = atrait.split(':') - - trait_ob = trait.GeneralTrait(name=name, dataset_name=dataset_name) - trait_ob.retrieve_info(get_qtl_info=True) + dataset = create_dataset(dataset_name) + + trait_ob = trait.GeneralTrait(name=name, dataset=dataset) + trait_ob = trait.retrieve_trait_info(trait_ob, dataset, get_qtl_info=True) trait_obs.append(trait_ob) - json_version.append(trait_ob.jsonable()) + json_version.append(trait.jsonable(trait_ob, dataset_name)) if "uc_id" in params: collection_info = dict(trait_obs=trait_obs, diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py index 401059fd..cc21d1bf 100644 --- a/wqflask/wqflask/correlation/show_corr_results.py +++ b/wqflask/wqflask/correlation/show_corr_results.py @@ -216,7 +216,7 @@ class CorrelationResults(object): for _trait_counter, trait in enumerate(self.correlation_data.keys()[:self.return_number]): trait_object = GeneralTrait(dataset=self.target_dataset, name=trait, get_qtl_info=True, get_sample_info=False) - if self.dataset.type == "ProbeSet" or self.dataset.type == "Geno": + if self.target_dataset.type == "ProbeSet" or self.target_dataset.type == "Geno": #ZS: Convert trait chromosome to an int for the location range option chr_as_int = 0 for order_id, chr_info in self.dataset.species.chromosomes.chromosomes.iteritems(): diff --git a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py index 70e21917..630980c7 100644 --- a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py +++ b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py @@ -207,7 +207,11 @@ class CorrelationMatrix(object): print("before loop:", self.loadings[0]) for i in range(len(self.trait_list)): loadings_row = [] - for j in range(3): + if len(self.trait_list) > 2: + the_range = 3 + else: + the_range = 2 + for j in range(the_range): position = i + len(self.trait_list)*j loadings_row.append(self.loadings[0][position]) loadings_array.append(loadings_row) diff --git a/wqflask/wqflask/ctl/ctl_analysis.py b/wqflask/wqflask/ctl/ctl_analysis.py index 7a42b2f8..9515d23a 100644 --- a/wqflask/wqflask/ctl/ctl_analysis.py +++ b/wqflask/wqflask/ctl/ctl_analysis.py @@ -6,6 +6,8 @@ import scipy as sp # SciPy import rpy2.robjects as ro # R Objects import rpy2.rinterface as ri +import simplejson as json + from base.webqtlConfig import GENERATED_IMAGE_DIR from utility import webqtlUtil # Random number for the image from utility import genofile_parser # genofile_parser @@ -73,8 +75,30 @@ class CTL(object): self.r_CTLnetwork = ro.r["CTLnetwork"] # Map the CTLnetwork function self.r_CTLprofiles = ro.r["CTLprofiles"] # Map the CTLprofiles function self.r_plotCTLobject = ro.r["plot.CTLobject"] # Map the CTLsignificant function + self.nodes_list = [] + self.edges_list = [] print("Obtained pointers to CTL functions") + def addNode(self, gt): + node_dict = { 'data' : {'id' : str(gt.name) + ":" + str(gt.dataset.name), + 'sid' : str(gt.name), + 'dataset' : str(gt.dataset.name), + 'label' : gt.name, + 'symbol' : gt.symbol, + 'geneid' : gt.geneid, + 'omim' : gt.omim } } + self.nodes_list.append(node_dict) + + def addEdge(self, gtS, gtT, significant, x): + edge_data = {'id' : str(gtS.symbol) + '_' + significant[1][x] + '_' + str(gtT.symbol), + 'source' : str(gtS.name) + ":" + str(gtS.dataset.name), + 'target' : str(gtT.name) + ":" + str(gtT.dataset.name), + 'lod' : significant[3][x], + 'color' : "#ff0000", + 'width' : significant[3][x] } + edge_dict = { 'data' : edge_data } + self.edges_list.append(edge_dict) + def run_analysis(self, requestform): print("Starting CTL analysis on dataset") self.trait_db_list = [trait.strip() for trait in requestform['trait_list'].split(',')] @@ -99,7 +123,7 @@ class CTL(object): genofilelocation = locate(dataset.group.name + ".geno", "genotype") parser = genofile_parser.ConvertGenoFile(genofilelocation) parser.process_csv() - + print(dataset.group) # Create a genotype matrix individuals = parser.individuals markers = [] @@ -120,7 +144,7 @@ class CTL(object): if trait != "": ts = trait.split(':') gt = TRAIT.GeneralTrait(name = ts[0], dataset_name = ts[1]) - gt.retrieve_sample_data(individuals) + gt = TRAIT.retrieve_sample_data(gt, dataset, individuals) for ind in individuals: if ind in gt.data.keys(): traits.append(gt.data[ind].value) @@ -129,9 +153,11 @@ class CTL(object): rPheno = r_t(ro.r.matrix(r_as_numeric(r_unlist(traits)), nrow=len(self.trait_db_list), ncol=len(individuals), dimnames = r_list(self.trait_db_list, individuals), byrow=True)) + print(rPheno) + # Use a data frame to store the objects - rPheno = r_data_frame(rPheno) - rGeno = r_data_frame(rGeno) + rPheno = r_data_frame(rPheno, check_names = False) + rGeno = r_data_frame(rGeno, check_names = False) # Debug: Print the genotype and phenotype files to disk #r_write_table(rGeno, "~/outputGN/geno.csv") @@ -156,7 +182,7 @@ class CTL(object): self.r_lineplot(res, significance = significance) r_dev_off() - n = 2 + n = 2 # We start from 2, since R starts from 1 :) for trait in self.trait_db_list: # Create the QTL like CTL plots self.results['imgurl' + str(n)] = webqtlUtil.genRandStr("CTL_") + ".png" @@ -169,6 +195,24 @@ class CTL(object): # Flush any output from R sys.stdout.flush() + # Create the interactive graph for cytoscape visualization (Nodes and Edges) + print(type(significant)) + if not type(significant) == ri.RNULLType: + for x in range(len(significant[0])): + print(significant[0][x], significant[1][x], significant[2][x]) # Debug to console + tsS = significant[0][x].split(':') # Source + tsT = significant[2][x].split(':') # Target + gtS = TRAIT.GeneralTrait(name = tsS[0], dataset_name = tsS[1]) # Retrieve Source info from the DB + gtT = TRAIT.GeneralTrait(name = tsT[0], dataset_name = tsT[1]) # Retrieve Target info from the DB + self.addNode(gtS) + self.addNode(gtT) + self.addEdge(gtS, gtT, significant, x) + + significant[0][x] = gtS.symbol + " (" + gtS.name + ")" # Update the trait name for the displayed table + significant[2][x] = gtT.symbol + " (" + gtT.name + ")" # Update the trait name for the displayed table + + self.elements = json.dumps(self.nodes_list + self.edges_list) + def loadImage(self, path, name): print("pre-loading imgage results:", self.results[path]) imgfile = open(self.results[path], 'rb') @@ -188,6 +232,7 @@ class CTL(object): print("Processing CTL output") template_vars = {} template_vars["results"] = self.results + template_vars["elements"] = self.elements self.render_image(self.results) sys.stdout.flush() return(dict(template_vars)) diff --git a/wqflask/wqflask/do_search.py b/wqflask/wqflask/do_search.py index ad3eab79..e1df1e63 100644 --- a/wqflask/wqflask/do_search.py +++ b/wqflask/wqflask/do_search.py @@ -826,7 +826,8 @@ class PositionSearch(DoSearch): def get_where_clause(self): self.search_term = [float(value) if is_number(value) else value for value in self.search_term] - self.chr, self.mb_min, self.mb_max = self.search_term[:3] + chr, self.mb_min, self.mb_max = self.search_term[:3] + self.chr = str(chr).lower() self.get_chr() where_clause = """ %s.Chr = %s and @@ -846,9 +847,9 @@ class PositionSearch(DoSearch): self.chr = int(self.chr) except: if 'chr' in self.chr: - self.chr = int(self.chr.replace('chr', '')) + self.chr = self.chr.replace('chr', '') else: - self.chr = int(self.chr.replace('CHR', '')) + self.chr = self.chr.replace('CHR', '') def run(self): diff --git a/wqflask/wqflask/gsearch.py b/wqflask/wqflask/gsearch.py index 64d638b2..e33e04e1 100644 --- a/wqflask/wqflask/gsearch.py +++ b/wqflask/wqflask/gsearch.py @@ -40,6 +40,7 @@ class GSearch(object): AND ( MATCH (ProbeSet.Name,ProbeSet.description,ProbeSet.symbol,alias,GenbankId, UniGeneId, Probe_Target_Description) AGAINST ('%s' IN BOOLEAN MODE) ) AND ProbeSet.Id = ProbeSetXRef.ProbeSetId AND ProbeSetXRef.ProbeSetFreezeId=ProbeSetFreeze.Id + AND ProbeSetFreeze.confidentiality < 1 AND ProbeSetFreeze.public > 0 ORDER BY species_name, inbredset_name, tissue_name, probesetfreeze_name, probeset_name LIMIT 6000 diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py index a56362ec..3bde61cd 100644 --- a/wqflask/wqflask/marker_regression/gemma_mapping.py +++ b/wqflask/wqflask/marker_regression/gemma_mapping.py @@ -1,7 +1,7 @@ -import os +import os, math from base import webqtlConfig -from utility.tools import GEMMA_COMMAND +from utility.tools import flat_files, GEMMA_COMMAND, GEMMA_RESULTS_PATH def run_gemma(this_dataset, samples, vals): """Generates p-values for each marker using GEMMA""" @@ -10,41 +10,62 @@ def run_gemma(this_dataset, samples, vals): gen_pheno_txt_file(this_dataset, samples, vals) - # Don't do this! - # os.chdir("{}gemma".format(webqtlConfig.GENODIR)) - # use GEMMA_RUN in the next one, create a unique temp file - gemma_command = GEMMA_COMMAND + ' -bfile %s/%s -k %s/output/%s.cXX.txt -lmm 1 -o %s_output' % (GEMMA_PATH, + gemma_command = GEMMA_COMMAND + ' -bfile %s/%s -k %s/%s.sXX.txt -lmm 1 -outdir %s/output -o %s_output' % (flat_files('mapping'), this_dataset.group.name, - GEMMA_PATH, + flat_files('mapping'), this_dataset.group.name, + GEMMA_RESULTS_PATH, this_dataset.group.name) print("gemma_command:" + gemma_command) os.system(gemma_command) - included_markers, p_values = parse_gemma_output(this_dataset) + marker_obs = parse_gemma_output(this_dataset) - return included_markers, p_values + return marker_obs def gen_pheno_txt_file(this_dataset, samples, vals): """Generates phenotype file for GEMMA""" - with open("{}/{}.fam".format(GEMMA_PATH, this_dataset.group.name), "w") as outfile: - for i, sample in enumerate(samples): - outfile.write(str(sample) + " " + str(sample) + " 0 0 0 " + str(vals[i]) + "\n") + current_file_data = [] + with open("{}/{}.fam".format(flat_files('mapping'), this_dataset.group.name), "r") as outfile: + for i, line in enumerate(outfile): + split_line = line.split() + current_file_data.append(split_line) + + with open("{}/{}.fam".format(flat_files('mapping'), this_dataset.group.name), "w") as outfile: + for i, line in enumerate(current_file_data): + if vals[i] == "x": + this_val = -9 + else: + this_val = vals[i] + outfile.write("0" + " " + line[1] + " " + line[2] + " " + line[3] + " " + line[4] + " " + str(this_val) + "\n") def parse_gemma_output(this_dataset): included_markers = [] p_values = [] - with open("{}/output/{}_output.assoc.txt".format(GEMMA_PATH, this_dataset.group.name)) as output_file: + marker_obs = [] + with open("{}/output/{}_output.assoc.txt".format(GEMMA_RESULTS_PATH, this_dataset.group.name)) as output_file: for line in output_file: if line.startswith("chr"): continue else: + marker = {} + marker['name'] = line.split("\t")[1] + marker['chr'] = int(line.split("\t")[0]) + marker['Mb'] = float(line.split("\t")[2]) / 1000000 + marker['p_value'] = float(line.split("\t")[10]) + if math.isnan(marker['p_value']) or (marker['p_value'] <= 0): + marker['lod_score'] = 0 + #marker['lrs_value'] = 0 + else: + marker['lod_score'] = -math.log10(marker['p_value']) + #marker['lrs_value'] = -math.log10(marker['p_value']) * 4.61 + marker_obs.append(marker) + included_markers.append(line.split("\t")[1]) p_values.append(float(line.split("\t")[10])) - #print("p_values: ", p_values) - return included_markers, p_values + return marker_obs diff --git a/wqflask/wqflask/marker_regression/marker_regression.py b/wqflask/wqflask/marker_regression/marker_regression.py index fef0d8a0..b1d2f811 100644 --- a/wqflask/wqflask/marker_regression/marker_regression.py +++ b/wqflask/wqflask/marker_regression/marker_regression.py @@ -37,7 +37,7 @@ from utility import temp_data from utility.benchmark import Bench from wqflask.marker_regression import gemma_mapping, rqtl_mapping, qtlreaper_mapping, plink_mapping -from utility.tools import locate, locate_ignore_error, PYLMM_COMMAND, GEMMA_COMMAND, PLINK_COMMAND, TEMPDIR +from utility.tools import locate, locate_ignore_error, PYLMM_COMMAND, GEMMA_COMMAND, GEMMA_RESULTS_PATH, PLINK_COMMAND, TEMPDIR from utility.external import shell from base.webqtlConfig import TMPDIR, GENERATED_TEXT_DIR @@ -140,7 +140,6 @@ class MarkerRegression(object): except: self.num_perm = 0 - self.LRSCheck = self.score_type if self.num_perm > 0: self.permCheck = "ON" else: @@ -151,12 +150,10 @@ class MarkerRegression(object): self.dataset.group.get_markers() if self.mapping_method == "gemma": - self.score_type = "LOD" + self.score_type = "-log(p)" self.manhattan_plot = True with Bench("Running GEMMA"): - included_markers, p_values = gemma_mapping.run_gemma(self.dataset, self.samples, self.vals) - with Bench("Getting markers from csv"): - marker_obs = get_markers_from_csv(included_markers, p_values, self.dataset.group.name) + marker_obs = gemma_mapping.run_gemma(self.dataset, self.samples, self.vals) results = marker_obs elif self.mapping_method == "rqtl_plink": results = self.run_rqtl_plink() @@ -165,6 +162,7 @@ class MarkerRegression(object): self.mapping_scale = "morgan" self.control_marker = start_vars['control_marker'] self.do_control = start_vars['do_control'] + self.dataset.group.genofile = start_vars['genofile'] self.method = start_vars['mapmethod_rqtl_geno'] self.model = start_vars['mapmodel_rqtl_geno'] if start_vars['pair_scan'] == "true": @@ -200,6 +198,7 @@ class MarkerRegression(object): self.control_marker = start_vars['control_marker'] self.do_control = start_vars['do_control'] + self.dataset.group.genofile = start_vars['genofile'] logger.info("Running qtlreaper") results, self.json_data, self.perm_output, self.suggestive, self.significant, self.bootstrap_results = qtlreaper_mapping.gen_reaper_results(self.this_trait, self.dataset, @@ -216,6 +215,7 @@ class MarkerRegression(object): #results = self.run_plink() elif self.mapping_method == "pylmm": logger.debug("RUNNING PYLMM") + self.dataset.group.genofile = start_vars['genofile'] if self.num_perm > 0: self.run_permutations(str(temp_uuid)) results = self.gen_data(str(temp_uuid)) @@ -508,8 +508,7 @@ class MarkerRegression(object): logger.debug("Before creating the command") - command = PYLMM_COMMAND+' --key {} --species {}'.format(key, - "human") + command = PYLMM_COMMAND+' --key {} --species {}'.format(key, "human") logger.debug("command is:", command) @@ -607,30 +606,5 @@ def trim_markers_for_table(markers): return sorted_markers -def get_markers_from_csv(included_markers, p_values, group_name): - marker_data_fh = open(os.path.join(webqtlConfig.PYLMM_PATH + group_name + '_markers.csv')) - markers = [] - for marker_name, p_value in itertools.izip(included_markers, p_values): - if not p_value or len(included_markers) < 1: - continue - for line in marker_data_fh: - splat = line.strip().split() - if splat[0] == marker_name: - marker = {} - marker['name'] = splat[0] - marker['chr'] = int(splat[1]) - marker['Mb'] = float(splat[2]) - marker['p_value'] = p_value - if math.isnan(marker['p_value']) or (marker['p_value'] <= 0): - marker['lod_score'] = 0 - marker['lrs_value'] = 0 - else: - marker['lod_score'] = -math.log10(marker['p_value']) - marker['lrs_value'] = -math.log10(marker['p_value']) * 4.61 - markers.append(marker) - break - - return markers - if __name__ == '__main__': import cPickle as pickle diff --git a/wqflask/wqflask/marker_regression/marker_regression_gn1.py b/wqflask/wqflask/marker_regression/marker_regression_gn1.py index bc147f75..392ad745 100644 --- a/wqflask/wqflask/marker_regression/marker_regression_gn1.py +++ b/wqflask/wqflask/marker_regression/marker_regression_gn1.py @@ -292,7 +292,10 @@ class MarkerRegression(object): self.graphHeight = self.GRAPH_DEFAULT_HEIGHT self.dominanceChecked = False - self.LRS_LOD = start_vars['LRSCheck'] + if 'LRSCheck' in start_vars.keys(): + self.LRS_LOD = start_vars['LRSCheck'] + else: + self.LRS_LOD = start_vars['score_type'] self.cutoff = start_vars['cutoff'] self.intervalAnalystChecked = True self.draw2X = False @@ -983,9 +986,25 @@ class MarkerRegression(object): except: return + previous_chr = 1 + previous_chr_as_int = 0 + if self.plotScale == "physic": + this_chr = str(self.ChrList[self.selectedChr][0]) + else: + this_chr = str(self.ChrList[self.selectedChr][1]+1) + # for i, qtlresult in enumerate(self.qtlresults): + # if Chr == this_chr: + # if Mb < self.startMb or Mb > self.endMb: + # return + # else: + # locPixel = xLeftOffset + (Mb-self.startMb)*plotXScale + # break + # elif self.selectedChr == -1: + # if str(qtlresult['chr']) != Chr: + if self.plotScale == 'physic': if self.selectedChr > -1: - if self.genotype[0].name != Chr or Mb < self.startMb or Mb > self.endMb: + if this_chr != Chr or Mb < self.startMb or Mb > self.endMb: return else: locPixel = xLeftOffset + (Mb-self.startMb)*plotXScale @@ -1169,7 +1188,10 @@ class MarkerRegression(object): if self.controlLocus and self.doControl != "false": string2 = 'Using %s as control' % self.controlLocus else: - string2 = 'Using Haldane mapping function with no control for other QTLs' + if self.mapping_method == "gemma": + string2 = 'Using GEMMA mapping method with no control for other QTLs.' + else: + string2 = 'Using Haldane mapping function with no control for other QTLs' d = 4+ max(canvas.stringWidth(string1,font=labelFont),canvas.stringWidth(string2,font=labelFont)) if self.this_trait.name: identification = "Trait ID: %s : %s" % (self.dataset.fullname, self.this_trait.name) @@ -2016,6 +2038,8 @@ class MarkerRegression(object): AdditiveCoordXY = [] DominanceCoordXY = [] + symbolFont = pid.Font(ttf="fnt_bs", size=5,bold=0) #ZS: For Manhattan Plot + previous_chr = 1 previous_chr_as_int = 0 lineWidth = 1 @@ -2119,7 +2143,7 @@ class MarkerRegression(object): # Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/LRS_LOD_Max if self.manhattan_plot == True: - canvas.drawEllipse(Xc-1, Yc-1, Xc+1, Yc+1, fillColor=pid.black) + canvas.drawString("5", Xc-canvas.stringWidth("5",font=symbolFont)/2+1,Yc+2,color=pid.black, font=symbolFont) else: LRSCoordXY.append((Xc, Yc)) diff --git a/wqflask/wqflask/search_results.py b/wqflask/wqflask/search_results.py index a924c7c9..59e100d8 100644 --- a/wqflask/wqflask/search_results.py +++ b/wqflask/wqflask/search_results.py @@ -16,7 +16,7 @@ from pprint import pformat as pf import json from base.data_set import create_dataset -from base.trait import GeneralTrait +from base import trait from wqflask import parser from wqflask import do_search from utility import webqtlUtil,tools @@ -86,12 +86,13 @@ views.py). """ self.trait_list = [] + json_trait_list = [] species = webqtlDatabaseFunction.retrieve_species(self.dataset.group.name) # result_set represents the results for each search term; a search of # "shh grin2b" would have two sets of results, one for each term logger.debug("self.results is:", pf(self.results)) - for result in self.results: + for index, result in enumerate(self.results): if not result: continue @@ -99,8 +100,11 @@ views.py). #logger.debug("foo locals are:", locals()) trait_id = result[0] - this_trait = GeneralTrait(dataset=self.dataset, name=trait_id, get_qtl_info=True, get_sample_info=False) + this_trait = trait.GeneralTrait(dataset=self.dataset, name=trait_id, get_qtl_info=True, get_sample_info=False) self.trait_list.append(this_trait) + json_trait_list.append(trait.jsonable_table_row(this_trait, self.dataset.name, index + 1)) + + self.json_trait_list = json.dumps(json_trait_list) #def get_group_species_tree(self): # self.species_groups = collections.default_dict(list) diff --git a/wqflask/wqflask/show_trait/show_trait.py b/wqflask/wqflask/show_trait/show_trait.py index d9617c7c..5d55ebe1 100644 --- a/wqflask/wqflask/show_trait/show_trait.py +++ b/wqflask/wqflask/show_trait/show_trait.py @@ -4,6 +4,7 @@ import string import os import cPickle import uuid +import json as json #import pyXLWriter as xl from collections import OrderedDict @@ -24,6 +25,7 @@ from basicStatistics import BasicStatisticsFunctions from pprint import pformat as pf from utility.tools import flat_files, flat_file_exists +from utility.tools import get_setting from utility.logger import getLogger logger = getLogger(__name__ ) @@ -46,60 +48,23 @@ class ShowTrait(object): helper_functions.get_species_dataset_trait(self, kw) else: self.temp_trait = True - self.create_temp_trait() + self.trait_vals = kw['trait_paste'].split() + self.temp_group = kw['group'] + self.temp_species = kw['species'] + #self.create_temp_trait() #self.dataset.group.read_genotype_file() - # Todo: Add back in the ones we actually need from below, as we discover we need them - hddn = OrderedDict() - - ## Some fields, like method, are defaulted to None; otherwise in IE the field can't be changed using jquery - #hddn = OrderedDict( - # FormID = fmID, - # group = fd.group, - # submitID = '', - # scale = 'physic', - # additiveCheck = 'ON', - # showSNP = 'ON', - # showGenes = 'ON', - # method = None, - # parentsf14regression = 'OFF', - # stats_method = '1', - # chromosomes = '-1', - # topten = '', - # viewLegend = 'ON', - # intervalAnalystCheck = 'ON', - # valsHidden = 'OFF', - # database = '', - # criteria = None, - # MDPChoice = None, - # bootCheck = None, - # permCheck = None, - # applyVarianceSE = None, - # sampleNames = '_', - # sampleVals = '_', - # sampleVars = '_', - # otherStrainNames = '_', - # otherStrainVals = '_', - # otherStrainVars = '_', - # extra_attributes = '_', - # other_extra_attributes = '_', - # export_data = None - # ) - #if this_trait: # if this_trait.dataset and this_trait.dataset.type and this_trait.dataset.type == 'ProbeSet': # self.cursor.execute("SELECT h2 from ProbeSetXRef WHERE DataId = %d" % # this_trait.mysqlid) # heritability = self.cursor.fetchone() - self.dispTraitInformation(kw, "", hddn, self.this_trait) #Display trait information + function buttons - - self.build_correlation_tools(self.this_trait) + self.build_correlation_tools() #Get nearest marker for composite mapping - logger.debug("self.dataset.type:", self.dataset.type) if hasattr(self.this_trait, 'locus_chr') and self.this_trait.locus_chr != "" and self.dataset.type != "Geno" and self.dataset.type != "Publish": self.nearest_marker = get_nearest_marker(self.this_trait, self.dataset) #self.nearest_marker1 = get_nearest_marker(self.this_trait, self.dataset)[0] @@ -111,6 +76,9 @@ class ShowTrait(object): self.make_sample_lists(self.this_trait) + # Todo: Add back in the ones we actually need from below, as we discover we need them + hddn = OrderedDict() + if self.dataset.group.allsamples: hddn['allsamples'] = string.join(self.dataset.group.allsamples, ' ') @@ -145,13 +113,18 @@ class ShowTrait(object): else: self.sample_group_types['samples_primary'] = self.dataset.group.name sample_lists = [group.sample_list for group in self.sample_groups] - # logger.debug("sample_lists is:", pf(sample_lists)) self.get_mapping_methods() self.trait_table_width = get_trait_table_width(self.sample_groups) - js_data = dict(dataset_type = self.dataset.type, + if self.this_trait.symbol: + trait_symbol = self.this_trait.symbol + else: + trait_symbol = None + js_data = dict(trait_id = self.this_trait.name, + trait_symbol = trait_symbol, + dataset_type = self.dataset.type, data_scale = self.dataset.data_scale, sample_group_types = self.sample_group_types, sample_lists = sample_lists, @@ -165,7 +138,8 @@ class ShowTrait(object): if flat_file_exists("mapping"): MAPPING_PATH = flat_files("mapping")+"/" if (os.path.isfile(MAPPING_PATH+self.dataset.group.name+".bed") and - os.path.isfile(MAPPING_PATH+self.dataset.group.name+".map")): + (os.path.isfile(MAPPING_PATH+self.dataset.group.name+".map") or + os.path.isfile(MAPPING_PATH+self.dataset.group.name+".bim"))): return True return False @@ -175,740 +149,16 @@ class ShowTrait(object): else: return False + self.genofiles = get_genofiles(self.this_trait) self.use_plink_gemma = check_plink_gemma() self.use_pylmm_rqtl = check_pylmm_rqtl() - def read_data(self, include_f1=False): - '''read user input data or from trait data and analysis form''' - - #if incf1 == None: - # incf1 = [] - - #if not self.genotype: - # self.dataset.read_genotype_file() - if not samplelist: - if include_f1: - samplelist = self.f1list + self.samplelist - else: - samplelist = self.samplelist - - traitfiledata = getattr(self, "traitfile", None) - traitpastedata = getattr(self, "traitpaste", None) - variancefiledata = getattr(self, "variancefile", None) - variancepastedata = getattr(self, "variancepaste", None) - Nfiledata = getattr(self, "Nfile", None) - - #### Todo: Rewrite below when we get to someone submitting their own trait ##### - - def to_float(item): - try: - return float(item) - except ValueError: - return None - - logger.debug("bottle samplelist is:", samplelist) - if traitfiledata: - tt = traitfiledata.split() - values = map(webqtlUtil.StringAsFloat, tt) - elif traitpastedata: - tt = traitpastedata.split() - values = map(webqtlUtil.StringAsFloat, tt) - else: - logger.debug("mapping formdataasfloat") - #values = map(self.FormDataAsFloat, samplelist) - values = [to_float(getattr(self, key)) for key in samplelist] - logger.debug("rocket values is:", values) - - - if len(values) < len(samplelist): - values += [None] * (len(samplelist) - len(values)) - elif len(values) > len(samplelist): - values = values[:len(samplelist)] - logger.debug("now values is:", values) - - - if variancefiledata: - tt = variancefiledata.split() - variances = map(webqtlUtil.StringAsFloat, tt) - elif variancepastedata: - tt = variancepastedata.split() - variances = map(webqtlUtil.StringAsFloat, tt) - else: - variances = map(self.FormVarianceAsFloat, samplelist) - - if len(variances) < len(samplelist): - variances += [None]*(len(samplelist) - len(variances)) - elif len(variances) > len(samplelist): - variances = variances[:len(samplelist)] - - if Nfiledata: - tt = string.split(Nfiledata) - nsamples = map(webqtlUtil.IntAsFloat, tt) - if len(nsamples) < len(samplelist): - nsamples += [None]*(len(samplelist) - len(nsamples)) - else: - nsamples = map(self.FormNAsFloat, samplelist) - - ##values, variances, nsamples is obsolete - self.allTraitData = {} - for i, _sample in enumerate(samplelist): - if values[i] != None: - self.allTraitData[_sample] = webqtlCaseData( - _sample, values[i], variances[i], nsamples[i]) - logger.debug("allTraitData is:", pf(self.allTraitData)) - - - def dispTraitInformation(self, args, title1Body, hddn, this_trait): - - self.species_name = webqtlDatabaseFunction.retrieve_species(group=self.dataset.group.name) - - #tbl = HT.TableLite(cellpadding=2, Class="collap", style="margin-left:20px;", width="840", valign="top", id="target1") - - #reset=HT.Input(type='Reset',name='',value=' Reset ',Class="button") - - #XZ, August 02, 2011: The display of icons is decided by the trait type (if trait exists), along with user log-in status. Note that the new submitted trait might not be trait object. - addSelectionButton = "" - verifyButton = "" - rnaseqButton = "" - geneWikiButton = "" - probeButton = "" - similarButton = "" - snpBrowserButton = "" - updateButton = "" - - addSelectionText = "" - verifyText = "" - rnaseqText = "" - geneWikiText = "" - probeText = "" - similarText = "" - snpBrowserText = "" - updateText = "" - - #if webqtlConfig.USERDICT[self.privilege] >= webqtlConfig.USERDICT['user']: - # - # if this_trait==None or this_trait.dataset.type=='Temp': - # updateButton = HT.Href(url="#redirect", onClick="dataEditingFunc(document.getElementsByName('dataInput')[0],'addPublish');") - # updateButton_img = HT.Image("/images/edit_icon.jpg", name="addnew", alt="Add To Publish", title="Add To Publish", style="border:none;") - # updateButton.append(updateButton_img) - # updateText = "Edit" - # elif this_trait.dataset.type != 'Temp': - # if this_trait.dataset.type == 'Publish' and this_trait.confidential: #XZ: confidential phenotype trait - # if webqtlUtil.hasAccessToConfidentialPhenotypeTrait(privilege=self.privilege, userName=self.userName, authorized_users=this_trait.authorized_users): - # updateButton = HT.Href(url="#redirect", onClick="dataEditingFunc(document.getElementsByName('dataInput')[0],'updateRecord');") - # updateButton_img = HT.Image("/images/edit_icon.jpg", name="update", alt="Edit", title="Edit", style="border:none;") - # updateButton.append(updateButton_img) - # updateText = "Edit" - # else: - # updateButton = HT.Href(url="#redirect", onClick="dataEditingFunc(document.getElementsByName('dataInput')[0],'updateRecord');") - # updateButton_img = HT.Image("/images/edit_icon.jpg", name="update", alt="Edit", title="Edit", style="border:none;") - # updateButton.append(updateButton_img) - # updateText = "Edit" - # else: - # pass - - result = g.db.execute("SELECT Name FROM InbredSet WHERE Name=%s", self.dataset.group.name) - if this_trait: - addSelectionButton = HT.Href(url="#redirect", onClick="addRmvSelection('%s', document.getElementsByName('%s')[0], 'addToSelection');" % (self.dataset.group.name, 'dataInput')) - addSelectionButton_img = HT.Image("/images/add_icon.jpg", name="addselect", alt="Add To Collection", title="Add To Collection", style="border:none;") - #addSelectionButton.append(addSelectionButton_img) - addSelectionText = "Add" - elif result.fetchall(): - addSelectionButton = HT.Href(url="#redirect", onClick="dataEditingFunc(document.getElementsByName('%s')[0], 'addRecord');" % ('dataInput')) - addSelectionButton_img = HT.Image("/images/add_icon.jpg", name="", alt="Add To Collection", title="Add To Collection", style="border:none;") - #addSelectionButton.append(addSelectionButton_img) - addSelectionText = "Add" - else: - pass - - - # Microarray database information to display - if this_trait and this_trait.dataset and this_trait.dataset.type == 'ProbeSet': #before, this line was only reached if this_trait != 0, but now we need to check - try: - hddn['GeneId'] = int(string.strip(this_trait.geneid)) - except: - pass - - #Info2Disp = HT.Paragraph() - - #XZ: Gene Symbol - if this_trait.symbol: - #XZ: Show SNP Browser only for mouse - if self.species_name == 'mouse': - geneName = g.db.execute("SELECT geneSymbol FROM GeneList WHERE geneSymbol = %s", this_trait.symbol).fetchone() - if geneName: - snpurl = os.path.join(webqtlConfig.CGIDIR, "main.py?FormID=SnpBrowserResultPage&submitStatus=1&diffAlleles=True&customStrain=True") + "&geneName=%s" % geneName[0] - else: - if this_trait.chr and this_trait.mb: - snpurl = os.path.join(webqtlConfig.CGIDIR, "main.py?FormID=SnpBrowserResultPage&submitStatus=1&diffAlleles=True&customStrain=True") + \ - "&chr=%s&start=%2.6f&end=%2.6f" % (this_trait.chr, this_trait.mb-0.002, this_trait.mb+0.002) - else: - snpurl = "" - - if snpurl: - snpBrowserButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % snpurl) - snpBrowserButton_img = HT.Image("/images/snp_icon.jpg", name="snpbrowser", alt=" View SNPs and Indels ", title=" View SNPs and Indels ", style="border:none;") - snpBrowserText = "SNPs" - - #XZ: Show GeneWiki for all species - geneWikiButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % (os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE) + "?FormID=geneWiki&symbol=%s" % this_trait.symbol)) - geneWikiButton_img = HT.Image("/images/genewiki_icon.jpg", name="genewiki", alt=" Write or review comments about this gene ", title=" Write or review comments about this gene ", style="border:none;") - geneWikiText = 'GeneWiki' - - #XZ: display similar traits in other selected datasets - if this_trait and this_trait.dataset and this_trait.dataset.type=="ProbeSet" and this_trait.symbol: - if self.species_name in ("mouse", "rat", "human"): - similarUrl = "%s?cmd=sch&gene=%s&alias=1&species=%s" % (os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), this_trait.symbol, self.species_name) - similarButton = HT.Href(url="#redirect", onClick="openNewWin('%s')" % similarUrl) - similarButton_img = HT.Image("/images/find_icon.jpg", name="similar", alt=" Find similar expression data ", title=" Find similar expression data ", style="border:none;") - similarText = "Find" - else: - pass - else: - tbl.append(HT.TR( - HT.TD('Gene Symbol: ', Class="fwb fs13", valign="top", nowrap="on"), - HT.TD(width=10, valign="top"), - HT.TD(HT.Span('Not available', Class="fs13 fsI"), valign="top") - )) - - - - ##display Verify Location button - try: - blatsequence = this_trait.blatseq - if not blatsequence: - #XZ, 06/03/2009: ProbeSet name is not unique among platforms. We should use ProbeSet Id instead. - self.cursor.execute("""SELECT Probe.Sequence, Probe.Name - FROM Probe, ProbeSet, ProbeSetFreeze, ProbeSetXRef - WHERE ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND - ProbeSetXRef.ProbeSetId = ProbeSet.Id AND - ProbeSetFreeze.Name = '%s' AND - ProbeSet.Name = '%s' AND - Probe.ProbeSetId = ProbeSet.Id order by Probe.SerialOrder""" % (this_trait.dataset.name, this_trait.name) ) - seqs = self.cursor.fetchall() - if not seqs: - raise ValueError - else: - blatsequence = '' - for seqt in seqs: - if int(seqt[1][-1]) % 2 == 1: - blatsequence += string.strip(seqt[0])## NEEDED FOR UCSC GENOME BROWSER LINK - - #--------Hongqiang add this part in order to not only blat ProbeSet, but also blat Probe - blatsequence = '%3E'+this_trait.name+'%0A'+blatsequence+'%0A' - #XZ, 06/03/2009: ProbeSet name is not unique among platforms. We should use ProbeSet Id instead. - query = """SELECT Probe.Sequence, Probe.Name - FROM Probe, ProbeSet, ProbeSetFreeze, ProbeSetXRef - WHERE ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND - ProbeSetXRef.ProbeSetId = ProbeSet.Id AND - ProbeSetFreeze.Name = '{}' AND - ProbeSet.Name = '{}' AND - Probe.ProbeSetId = ProbeSet.Id order by Probe.SerialOrder""".format(this_trait.dataset.name, this_trait.name) - - logger.sql(query) - seqs = g.db.execute(query).fetchall() - - for seqt in seqs: - if int(seqt[1][-1]) %2 == 1: - blatsequence += '%3EProbe_'+string.strip(seqt[1])+'%0A'+string.strip(seqt[0])+'%0A' - - #XZ: Pay attention to the parameter of version (rn, mm, hg). They need to be changed if necessary. - if self.species_name == "rat": - self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('rat', 'rn3', blatsequence) - self.UTHSC_BLAT_URL = "" - elif self.species_name == "mouse": - self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('mouse', 'mm9', blatsequence) - self.UTHSC_BLAT_URL = webqtlConfig.UTHSC_BLAT % ('mouse', 'mm9', blatsequence) - elif self.species_name == "human": - self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('human', 'hg19', blatsequence) - self.UTHSC_BLAT_URL = "" - else: - self.UCSC_BLAT_URL = "" - self.UTHSC_BLAT_URL = "" - - if self.UCSC_BLAT_URL != "": - verifyButton = HT.Href(url="#", onClick="javascript:openNewWin('%s'); return false;" % UCSC_BLAT_URL) - verifyButtonImg = HT.Image("/images/verify_icon.jpg", name="verify", alt=" Check probe locations at UCSC ", - title=" Check probe locations at UCSC ", style="border:none;") - verifyButton.append(verifyButtonImg) - verifyText = 'Verify' - if self.UTHSC_BLAT_URL != "": - rnaseqButton = HT.Href(url="#", onClick="javascript:openNewWin('%s'); return false;" % UTHSC_BLAT_URL) - rnaseqButtonImg = HT.Image("/images/rnaseq_icon.jpg", name="rnaseq", alt=" View probes, SNPs, and RNA-seq at UTHSC ", - title=" View probes, SNPs, and RNA-seq at UTHSC ", style="border:none;") - rnaseqButton.append(rnaseqButtonImg) - rnaseqText = 'RNA-seq' - tSpan.append(HT.BR()) - except: - pass - - #Display probe information (if any) - if this_trait.dataset.name.find('Liver') >= 0 and this_trait.dataset.name.find('F2') < 0: - pass - else: - query = """SELECT count(*) - FROM Probe, ProbeSet - WHERE ProbeSet.Name = '%s' AND Probe.ProbeSetId = ProbeSet.Id""" % (this_trait.name) - #query database for number of probes associated with trait; if count > 0, set probe tool button and text - logger.sql(query) - probeResult = g.db.execute(query).fetchone() - if probeResult[0] > 0: - self.show_probes = "True" - probeurl = "%s?FormID=showProbeInfo&database=%s&ProbeSetID=%s&CellID=%s&group=%s&incparentsf1=ON" \ - % (os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), this_trait.dataset, this_trait.name, this_trait.cellid, self.dataset.group.name) - probeButton = HT.Href(url="#", onClick="javascript:openNewWin('%s'); return false;" % probeurl) - probeButton_img = HT.Image("/images/probe_icon.jpg", name="probe", alt=" Check sequence of probes ", title=" Check sequence of probes ", style="border:none;") - #probeButton.append(probeButton_img) - probeText = "Probes" - - this_trait.species = self.species_name # We need this in the template, so we tuck it into this_trait - this_trait.database = this_trait.get_database() - - #XZ: ID links - if this_trait.genbankid or this_trait.geneid or this_trait.unigeneid or this_trait.omim or this_trait.homologeneid: - idStyle = "background:#dddddd;padding:2" - tSpan = HT.Span(Class="fs13") - if this_trait.geneid: - gurl = HT.Href(text= 'Gene', target='_blank',\ - url=webqtlConfig.NCBI_LOCUSID % this_trait.geneid, Class="fs14 fwn", title="Info from NCBI Entrez Gene") - #tSpan.append(HT.Span(gurl, style=idStyle), " "*2) - if this_trait.omim: - gurl = HT.Href(text= 'OMIM', target='_blank', \ - url= webqtlConfig.OMIM_ID % this_trait.omim,Class="fs14 fwn", title="Summary from On Mendelian Inheritance in Man") - #tSpan.append(HT.Span(gurl, style=idStyle), " "*2) - if this_trait.unigeneid: - try: - gurl = HT.Href(text= 'UniGene',target='_blank',\ - url= webqtlConfig.UNIGEN_ID % tuple(string.split(this_trait.unigeneid,'.')[:2]),Class="fs14 fwn", title="UniGene ID") - #tSpan.append(HT.Span(gurl, style=idStyle), " "*2) - except: - pass - if this_trait.genbankid: - this_trait.genbankid = '|'.join(this_trait.genbankid.split('|')[0:10]) - if this_trait.genbankid[-1]=='|': - this_trait.genbankid=this_trait.genbankid[0:-1] - gurl = HT.Href(text= 'GenBank', target='_blank', \ - url= webqtlConfig.GENBANK_ID % this_trait.genbankid,Class="fs14 fwn", title="Find the original GenBank sequence used to design the probes") - #tSpan.append(HT.Span(gurl, style=idStyle), " "*2) - if this_trait.homologeneid: - hurl = HT.Href(text= 'HomoloGene', target='_blank',\ - url=webqtlConfig.HOMOLOGENE_ID % this_trait.homologeneid, Class="fs14 fwn", title="Find similar genes in other species") - #tSpan.append(HT.Span(hurl, style=idStyle), " "*2) - - #XZ: Resource Links: - if this_trait.symbol: - #XZ,12/26/2008: Gene symbol may contain single quotation mark. - #For example, Affymetrix, mouse430v2, 1440338_at, the symbol is 2'-Pde (geneid 211948) - #I debug this by using double quotation marks. - if self.species_name == "rat": - result = g.db.execute("SELECT kgID, chromosome,txStart,txEnd FROM GeneList_rn33 WHERE geneSymbol = %s", (this_trait.symbol)).fetchone() - if result != None: - kgId, chr, txst, txen = result[0], result[1], result[2], result[3] - if chr and txst and txen and kgId: - txst = int(txst*1000000) - txen = int(txen*1000000) - if self.species_name == "mouse": - logger.debug("this_trait.symbol:", this_trait.symbol) - result = g.db.execute("SELECT chromosome,txStart,txEnd FROM GeneList WHERE geneSymbol = %s", (this_trait.symbol)).fetchone() - if result != None: - this_chr, txst, txen = result[0], result[1], result[2] - if this_chr and txst and txen and this_trait.refseq_transcriptid : - txst = int(txst*1000000) - txen = int(txen*1000000) - ## NEEDED FOR UCSC GENOME BROWSER LINK - - #XZ, 7/16/2009: The url for SymAtlas (renamed as BioGPS) has changed. We don't need this any more - #tSpan.append(HT.Span(HT.Href(text= 'SymAtlas',target="mainFrame",\ - # url="http://symatlas.gnf.org/SymAtlas/bioentry?querytext=%s&query=14&species=%s&type=Expression" \ - # % (this_trait.symbol,symatlas_species),Class="fs14 fwn", \ - # title="Expression across many tissues and cell types"), style=linkStyle), " "*2) - if this_trait.geneid and (self.species_name == "mouse" or self.species_name == "rat" or self.species_name == "human"): - #tSpan.append(HT.Span(HT.Href(text= 'BioGPS',target="mainFrame",\ - # url="http://biogps.gnf.org/?org=%s#goto=genereport&id=%s" \ - # % (self.species_name, this_trait.geneid),Class="fs14 fwn", \ - # title="Expression across many tissues and cell types"), style=linkStyle), " "*2) - pass - #tSpan.append(HT.Span(HT.Href(text= 'STRING',target="mainFrame",\ - # url="http://string.embl.de/newstring_cgi/show_link_summary.pl?identifier=%s" \ - # % this_trait.symbol,Class="fs14 fwn", \ - # title="Protein interactions: known and inferred"), style=linkStyle), " "*2) - if this_trait.symbol: - #ZS: The "species scientific" converts the plain English species names we're using to their scientific names, which are needed for PANTHER's input - #We should probably use the scientific name along with the English name (if not instead of) elsewhere as well, given potential non-English speaking users - if self.species_name == "mouse": - species_scientific = "Mus%20musculus" - elif self.species_name == "rat": - species_scientific = "Rattus%20norvegicus" - elif self.species_name == "human": - species_scientific = "Homo%20sapiens" - elif self.species_name == "drosophila": - species_scientific = "Drosophila%20melanogaster" - else: - species_scientific = "all" - - species_scientific - #tSpan.append(HT.Span(HT.Href(text= 'PANTHER',target="mainFrame", \ - # url="http://www.pantherdb.org/genes/geneList.do?searchType=basic&fieldName=all&organism=%s&listType=1&fieldValue=%s" \ - # % (species_scientific, this_trait.symbol),Class="fs14 fwn", \ - # title="Gene and protein data resources from Celera-ABI"), style=linkStyle), " "*2) - else: - pass - #tSpan.append(HT.Span(HT.Href(text= 'BIND',target="mainFrame",\ - # url="http://bind.ca/?textquery=%s" \ - # % this_trait.symbol,Class="fs14 fwn", \ - # title="Protein interactions"), style=linkStyle), " "*2) - #if this_trait.geneid and (self.species_name == "mouse" or self.species_name == "rat" or self.species_name == "human"): - # tSpan.append(HT.Span(HT.Href(text= 'Gemma',target="mainFrame",\ - # url="http://www.chibi.ubc.ca/Gemma/gene/showGene.html?ncbiid=%s" \ - # % this_trait.geneid, Class="fs14 fwn", \ - # title="Meta-analysis of gene expression data"), style=linkStyle), " "*2) - #tSpan.append(HT.Span(HT.Href(text= 'SynDB',target="mainFrame",\ - # url="http://lily.uthsc.edu:8080/20091027_GNInterfaces/20091027_redirectSynDB.jsp?query=%s" \ - # % this_trait.symbol, Class="fs14 fwn", \ - # title="Brain synapse database"), style=linkStyle), " "*2) - #if self.species_name == "mouse": - # tSpan.append(HT.Span(HT.Href(text= 'ABA',target="mainFrame",\ - # url="http://mouse.brain-map.org/brain/%s.html" \ - # % this_trait.symbol, Class="fs14 fwn", \ - # title="Allen Brain Atlas"), style=linkStyle), " "*2) - - if this_trait.geneid: - #if self.species_name == "mouse": - # tSpan.append(HT.Span(HT.Href(text= 'ABA',target="mainFrame",\ - # url="http://www.brain-map.org/search.do?queryText=egeneid=%s" \ - # % this_trait.geneid, Class="fs14 fwn", \ - # title="Allen Brain Atlas"), style=linkStyle), " "*2) - if self.species_name == "human": - #tSpan.append(HT.Span(HT.Href(text= 'ABA',target="mainFrame",\ - # url="http://humancortex.alleninstitute.org/has/human/imageseries/search/1.html?searchSym=t&searchAlt=t&searchName=t&gene_term=&entrez_term=%s" \ - # % this_trait.geneid, Class="fs14 fwn", \ - # title="Allen Brain Atlas"), style=linkStyle), " "*2) - pass - - #for zhou mi's cliques, need to be removed - #if self.database[:6] == 'BXDMic' and self.ProbeSetID in cliqueID: - # Info2Disp.append(HT.Strong('Clique Search: '),HT.Href(text='Search',\ - # url ="http://compbio1.utmem.edu/clique_go/results.php?pid=%s&pval_1=0&pval_2=0.001" \ - # % self.ProbeSetID,target='_blank',Class="normalsize"),HT.BR()) - - elif this_trait and this_trait.dataset and this_trait.dataset.type =='Publish': #Check if trait is phenotype - - #if this_trait.confidential: - # pass - # #tbl.append(HT.TR( - # # HT.TD('Pre-publication Phenotype: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.pre_publication_description, Class="fs13"), valign="top", width=740) - # # )) - # if webqtlUtil.hasAccessToConfidentialPhenotypeTrait(privilege=self.privilege, userName=self.userName, authorized_users=this_trait.authorized_users): - # #tbl.append(HT.TR( - # # HT.TD('Post-publication Phenotype: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.post_publication_description, Class="fs13"), valign="top", width=740) - # # )) - # #tbl.append(HT.TR( - # # HT.TD('Pre-publication Abbreviation: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.pre_publication_abbreviation, Class="fs13"), valign="top", width=740) - # # )) - # #tbl.append(HT.TR( - # # HT.TD('Post-publication Abbreviation: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.post_publication_abbreviation, Class="fs13"), valign="top", width=740) - # # )) - # #tbl.append(HT.TR( - # # HT.TD('Lab code: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.lab_code, Class="fs13"), valign="top", width=740) - # # )) - # pass - # #tbl.append(HT.TR( - # # HT.TD('Owner: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.owner, Class="fs13"), valign="top", width=740) - # # )) - #else: - # pass - # #tbl.append(HT.TR( - # # HT.TD('Phenotype: ', Class="fs13 fwb", valign="top", nowrap="on", width=90), - # # HT.TD(width=10, valign="top"), - # # HT.TD(HT.Span(this_trait.post_publication_description, Class="fs13"), valign="top", width=740) - # # )) - ##tbl.append(HT.TR( - ## HT.TD('Authors: ', Class="fs13 fwb", - ## valign="top", nowrap="on", width=90), - ## HT.TD(width=10, valign="top"), - ## HT.TD(HT.Span(this_trait.authors, Class="fs13"), - ## valign="top", width=740) - ## )) - ##tbl.append(HT.TR( - ## HT.TD('Title: ', Class="fs13 fwb", - ## valign="top", nowrap="on", width=90), - ## HT.TD(width=10, valign="top"), - ## HT.TD(HT.Span(this_trait.title, Class="fs13"), - ## valign="top", width=740) - ## )) - if this_trait.journal: - journal = this_trait.journal - if this_trait.year: - journal = this_trait.journal + " (%s)" % this_trait.year - # - #tbl.append(HT.TR( - # HT.TD('Journal: ', Class="fs13 fwb", - # valign="top", nowrap="on", width=90), - # HT.TD(width=10, valign="top"), - # HT.TD(HT.Span(journal, Class="fs13"), - # valign="top", width=740) - # )) - PubMedLink = "" - if this_trait.pubmed_id: - PubMedLink = webqtlConfig.PUBMEDLINK_URL % this_trait.pubmed_id - if PubMedLink: - #tbl.append(HT.TR( - # HT.TD('Link: ', Class="fs13 fwb", - # valign="top", nowrap="on", width=90), - # HT.TD(width=10, valign="top"), - # HT.TD(HT.Span(HT.Href(url=PubMedLink, text="PubMed",target='_blank',Class="fs14 fwn"), - # style = "background:#cddcff;padding:2"), valign="top", width=740) - # )) - pass - - elif this_trait and this_trait.dataset and this_trait.dataset.type == 'Geno': #Check if trait is genotype - - if this_trait.chr and this_trait.mb: - location = ' Chr %s @ %s Mb' % (this_trait.chr,this_trait.mb) - else: - location = "not available" - - #if this_trait.sequence and len(this_trait.sequence) > 100: - # if self.species_name == "rat": - # UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('rat', 'rn3', this_trait.sequence) - # UTHSC_BLAT_URL = webqtlConfig.UTHSC_BLAT % ('rat', 'rn3', this_trait.sequence) - # elif self.species_name == "mouse": - # UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('mouse', 'mm9', this_trait.sequence) - # UTHSC_BLAT_URL = webqtlConfig.UTHSC_BLAT % ('mouse', 'mm9', this_trait.sequence) - # elif self.species_name == "human": - # UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('human', 'hg19', blatsequence) - # UTHSC_BLAT_URL = webqtlConfig.UTHSC_BLAT % ('human', 'hg19', this_trait.sequence) - # else: - # UCSC_BLAT_URL = "" - # UTHSC_BLAT_URL = "" - # if UCSC_BLAT_URL: - # #verifyButton = HT.Href(url="#", onClick="openNewWin('%s')" % UCSC_BLAT_URL) - # verifyButton = HT.Href(url="#") - # verifyButtonImg = HT.Image("/images/verify_icon.jpg", name="verify", alt=" Check probe locations at UCSC ", title=" Check probe locations at UCSC ", style="border:none;") - # verifyButton.append(verifyButtonImg) - # verifyText = "Verify" - # rnaseqButton = HT.Href(url="#", onClick="openNewWin('%s')" % UTHSC_BLAT_URL) - # rnaseqButtonImg = HT.Image("/images/rnaseq_icon.jpg", name="rnaseq", alt=" View probes, SNPs, and RNA-seq at UTHSC ", title=" View probes, SNPs, and RNA-seq at UTHSC ", style="border:none;") - # rnaseqButton.append(rnaseqButtonImg) - # rnaseqText = "RNA-seq" - - #tbl.append(HT.TR( - # HT.TD('Location: ', Class="fs13 fwb", - # valign="top", nowrap="on", width=90), - # HT.TD(width=10, valign="top"), - # HT.TD(HT.Span(location, Class="fs13"), valign="top", width=740) - # ), - # HT.TR( - # HT.TD('SNP Search: ', Class="fs13 fwb", - # valign="top", nowrap="on", width=90), - # HT.TD(width=10, valign="top"), - # HT.TD(HT.Href("http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=snp&cmd=search&term=%s" % this_trait.name, 'NCBI',Class="fs13"), - # valign="top", width=740) - # )) - - - def dispBasicStatistics(self, fd, this_trait): - - #XZ, June 22, 2011: The definition and usage of primary_samples, other_samples, specialStrains, all_samples are not clear and hard to understand. But since they are only used in this function for draw graph purpose, they will not hurt the business logic outside. As of June 21, 2011, this function seems work fine, so no hurry to clean up. These parameters and code in this function should be cleaned along with fd.f1list, fd.parlist, fd.samplelist later. - - # This should still be riset here - Sam - Nov. 2012 - if fd.genotype.type == "riset": - samplelist = fd.f1list + fd.samplelist + def build_correlation_tools(self): + if self.temp_trait == True: + this_group = self.temp_group else: - samplelist = fd.f1list + fd.parlist + fd.samplelist - - other_samples = [] #XZ: sample that is not of primary group - specialStrains = [] #XZ: This might be replaced by other_samples / ZS: It is just other samples without parent/f1 samples. - all_samples = [] - primary_samples = [] #XZ: sample of primary group, e.g., BXD, LXS - - #self.MDP_menu = HT.Select(name='stats_mdp', Class='stats_mdp') - self.MDP_menu = [] # We're going to use the same named data structure as in the old version - # but repurpose it for Jinja2 as an array - - for sample in this_trait.data.keys(): - sampleName = sample.replace("_2nd_", "") - if sample not in samplelist: - if this_trait.data[sampleName].value != None: - if sample.find('F1') < 0: - specialStrains.append(sample) - if (this_trait.data[sampleName].value != None) and (sample not in (fd.f1list + fd.parlist)): - other_samples.append(sample) #XZ: at current stage, other_samples doesn't include parent samples and F1 samples of primary group - else: - if (this_trait.data[sampleName].value != None) and (sample not in (fd.f1list + fd.parlist)): - primary_samples.append(sample) #XZ: at current stage, the primary_samples is the same as fd.samplelist / ZS: I tried defining primary_samples as fd.samplelist instead, but in some cases it ended up including the parent samples (1436869_at BXD) - - if len(other_samples) > 3: - other_samples.sort(key=webqtlUtil.natsort_key) - primary_samples.sort(key=webqtlUtil.natsort_key) - primary_samples = map(lambda X:"_2nd_"+X, fd.f1list + fd.parlist) + primary_samples #XZ: note that fd.f1list and fd.parlist are added. - all_samples = primary_samples + other_samples - other_samples = map(lambda X:"_2nd_"+X, fd.f1list + fd.parlist) + other_samples #XZ: note that fd.f1list and fd.parlist are added. - logger.debug("ac1") # This is the one used for first sall3 - self.MDP_menu.append(('All Cases','0')) - self.MDP_menu.append(('%s Only' % fd.group, '1')) - self.MDP_menu.append(('Non-%s Only' % fd.group, '2')) - - else: - if (len(other_samples) > 0) and (len(primary_samples) + len(other_samples) > 3): - logger.debug("ac2") - self.MDP_menu.append(('All Cases','0')) - self.MDP_menu.append(('%s Only' % fd.group,'1')) - self.MDP_menu.append(('Non-%s Only' % fd.group,'2')) - all_samples = primary_samples - all_samples.sort(key=webqtlUtil.natsort_key) - all_samples = map(lambda X:"_2nd_"+X, fd.f1list + fd.parlist) + all_samples - primary_samples = map(lambda X:"_2nd_"+X, fd.f1list + fd.parlist) + primary_samples - else: - logger.debug("ac3") - all_samples = samplelist - - other_samples.sort(key=webqtlUtil.natsort_key) - all_samples = all_samples + other_samples - - if (len(other_samples)) > 0 and (len(primary_samples) + len(other_samples) > 4): - #One set of vals for all, selected sample only, and non-selected only - vals1 = [] - vals2 = [] - vals3 = [] - - #Using all samples/cases for values - #for sample_type in (all_samples, primary_samples, other_samples): - for sampleNameOrig in all_samples: - sampleName = sampleNameOrig.replace("_2nd_", "") - - logger.debug("* type of this_trait:", type(this_trait)) - logger.debug(" name:", this_trait.__class__.__name__) - logger.debug(" this_trait:", this_trait) - logger.debug(" type of this_trait.data[sampleName]:", type(this_trait.data[sampleName])) - logger.debug(" name:", this_trait.data[sampleName].__class__.__name__) - logger.debug(" this_trait.data[sampleName]:", this_trait.data[sampleName]) - thisval = this_trait.data[sampleName].value - logger.debug(" thisval:", thisval) - thisvar = this_trait.data[sampleName].variance - logger.debug(" thisvar:", thisvar) - thisValFull = [sampleName, thisval, thisvar] - logger.debug(" thisValFull:", thisValFull) - - vals1.append(thisValFull) - - #Using just the group sample - for sampleNameOrig in primary_samples: - sampleName = sampleNameOrig.replace("_2nd_", "") - - thisval = this_trait.data[sampleName].value - thisvar = this_trait.data[sampleName].variance - thisValFull = [sampleName,thisval,thisvar] - - vals2.append(thisValFull) - - #Using all non-group samples only - for sampleNameOrig in other_samples: - sampleName = sampleNameOrig.replace("_2nd_", "") - - thisval = this_trait.data[sampleName].value - thisvar = this_trait.data[sampleName].variance - thisValFull = [sampleName,thisval,thisvar] - - vals3.append(thisValFull) - - vals_set = [vals1,vals2,vals3] - - else: - vals = [] - - #Using all samples/cases for values - for sampleNameOrig in all_samples: - sampleName = sampleNameOrig.replace("_2nd_", "") - - thisval = this_trait.data[sampleName].value - thisvar = this_trait.data[sampleName].variance - thisValFull = [sampleName,thisval,thisvar] - - vals.append(thisValFull) - - vals_set = [vals] - - self.stats_data = [] - for i, vals in enumerate(vals_set): - if i == 0 and len(vals) < 4: - stats_container = HT.Div(id="stats_tabs", style="padding:10px;", Class="ui-tabs") #Needed for tabs; notice the "stats_script_text" below referring to this element - stats_container.append(HT.Div(HT.Italic("Fewer than 4 case data were entered. No statistical analysis has been attempted."))) - break - elif (i == 1 and len(primary_samples) < 4): - stats_container = HT.Div(id="stats_tabs%s" % i, Class="ui-tabs") - #stats_container.append(HT.Div(HT.Italic("Fewer than 4 " + fd.group + " case data were entered. No statistical analysis has been attempted."))) - elif (i == 2 and len(other_samples) < 4): - stats_container = HT.Div(id="stats_tabs%s" % i, Class="ui-tabs") - stats_container.append(HT.Div(HT.Italic("Fewer than 4 non-" + fd.group + " case data were entered. No statistical analysis has been attempted."))) - else: - continue - if len(vals) > 4: - stats_tab_list = [HT.Href(text="Basic Table", url="#statstabs-1", Class="stats_tab"),HT.Href(text="Probability Plot", url="#statstabs-5", Class="stats_tab"), - HT.Href(text="Bar Graph (by name)", url="#statstabs-3", Class="stats_tab"), HT.Href(text="Bar Graph (by rank)", url="#statstabs-4", Class="stats_tab"), - HT.Href(text="Box Plot", url="#statstabs-2", Class="stats_tab")] - - if this_trait.dataset: - if this_trait.cellid: - self.stats_data.append(BasicStatisticsFunctions.basicStatsTable(vals=vals, trait_type=this_trait.dataset.type, cellid=this_trait.cellid)) - else: - self.stats_data.append(BasicStatisticsFunctions.basicStatsTable(vals=vals, trait_type=this_trait.dataset.type)) - else: - self.stats_data.append(BasicStatisticsFunctions.basicStatsTable(vals=vals)) - - #normalplot_div = HT.Div(id="statstabs-5") - #normalplot_container = HT.Paragraph() - #normalplot = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - - try: - plotTitle = this_trait.symbol - plotTitle += ": " - plotTitle += this_trait.name - except: - plotTitle = str(this_trait.name) - - #normalplot_img = BasicStatisticsFunctions.plotNormalProbability(vals=vals, group=fd.group, title=plotTitle, specialStrains=specialStrains) - #normalplot.append(HT.TR(HT.TD(normalplot_img))) - #normalplot.append(HT.TR(HT.TD(HT.BR(),HT.BR(),"This plot evaluates whether data are \ - #normally distributed. Different symbols represent different groups.",HT.BR(),HT.BR(), - #"More about ", HT.Href(url="http://en.wikipedia.org/wiki/Normal_probability_plot", - # target="_blank", text="Normal Probability Plots"), " and more about interpreting these plots from the ", HT.Href(url="/glossary.html#normal_probability", target="_blank", text="glossary")))) - - #boxplot_div = HT.Div(id="statstabs-2") - #boxplot_container = HT.Paragraph() - #boxplot = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - #boxplot_img, boxplot_link = BasicStatisticsFunctions.plotBoxPlot(vals) - #boxplot.append(HT.TR(HT.TD(boxplot_img, HT.P(), boxplot_link, align="left"))) - - #barName_div = HT.Div(id="statstabs-3") - #barName_container = HT.Paragraph() - #barName = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - #barName_img = BasicStatisticsFunctions.plotBarGraph(identification=fd.identification, group=fd.group, vals=vals, type="name") - - #barRank_div = HT.Div(id="statstabs-4") - #barRank_container = HT.Paragraph() - #barRank = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - #barRank_img = BasicStatisticsFunctions.plotBarGraph(identification=fd.identification, group=fd.group, vals=vals, type="rank") - - - def build_correlation_tools(self, this_trait): - - #species = webqtlDatabaseFunction.retrieveSpecies(cursor=self.cursor, group=fd.group) - - this_group = self.dataset.group.name + this_group = self.dataset.group.name # We're checking a string here! assert isinstance(this_group, basestring), "We need a string type thing here" @@ -916,11 +166,15 @@ class ShowTrait(object): this_group = 'BXD' if this_group: - dataset_menu = self.dataset.group.datasets() + #dataset_menu = self.dataset.group.datasets() + if self.temp_trait == True: + dataset_menu = data_set.datasets(this_group) + else: + dataset_menu = data_set.datasets(this_group, self.dataset.group) dataset_menu_selected = None if len(dataset_menu): - if this_trait and this_trait.dataset: - dataset_menu_selected = this_trait.dataset.name + if self.this_trait and self.this_trait.dataset: + dataset_menu_selected = self.this_trait.dataset.name return_results_menu = (100, 200, 500, 1000, 2000, 5000, 10000, 15000, 20000) return_results_menu_selected = 500 @@ -931,263 +185,9 @@ class ShowTrait(object): return_results_menu_selected = return_results_menu_selected,) - def build_mapping_tools(self, this_trait): - - - #_Species = webqtlDatabaseFunction.retrieveSpecies(cursor=self.cursor, group=fd.group) - - this_group = fd.group - if this_group[:3] == 'BXD': - this_group = 'BXD' - - #check boxes - one for regular interval mapping, the other for composite - permCheck1= HT.Input(type='checkbox', Class='checkbox', name='permCheck1',checked="on") - bootCheck1= HT.Input(type='checkbox', Class='checkbox', name='bootCheck1',checked=0) - permCheck2= HT.Input(type='checkbox', Class='checkbox', name='permCheck2',checked="on") - bootCheck2= HT.Input(type='checkbox', Class='checkbox', name='bootCheck2',checked=0) - optionbox1 = HT.Input(type='checkbox', Class='checkbox', name='parentsf14regression1',checked=0) - optionbox2 = HT.Input(type='checkbox', Class='checkbox', name='parentsf14regression2',checked=0) - optionbox3 = HT.Input(type='checkbox', Class='checkbox', name='parentsf14regression3',checked=0) - applyVariance1 = HT.Input(name='applyVarianceSE1',type='checkbox', Class='checkbox') - applyVariance2 = HT.Input(name='applyVarianceSE2',type='checkbox', Class='checkbox') - - IntervalMappingButton=HT.Input(type='button' ,name='interval',value=' Compute ', Class="button") - CompositeMappingButton=HT.Input(type='button' ,name='composite',value=' Compute ', Class="button") - MarkerRegressionButton=HT.Input(type='button',name='marker', value=' Compute ', Class="button") - - chrText = HT.Span("Chromosome:", Class="ffl fwb fs12") - - # updated by NL 5-28-2010 - # Interval Mapping - chrMenu = HT.Select(name='chromosomes1') - chrMenu.append(("All",-1)) - for i in range(len(fd.genotype)): - if len(fd.genotype[i]) > 1: - chrMenu.append((fd.genotype[i].name, i)) - - #Menu for Composite Interval Mapping - chrMenu2 = HT.Select(name='chromosomes2') - chrMenu2.append(("All",-1)) - for i in range(len(fd.genotype)): - if len(fd.genotype[i]) > 1: - chrMenu2.append((fd.genotype[i].name, i)) - - if fd.genotype.Mbmap: - scaleText = HT.Span("Mapping Scale:", Class="ffl fwb fs12") - scaleMenu1 = HT.Select(name='scale1', - onChange="checkUncheck(window.document.dataInput.scale1.value, window.document.dataInput.permCheck1, window.document.dataInput.bootCheck1)") - scaleMenu1.append(("Megabase",'physic')) - scaleMenu1.append(("Centimorgan",'morgan')) - scaleMenu2 = HT.Select(name='scale2', - onChange="checkUncheck(window.document.dataInput.scale2.value, window.document.dataInput.permCheck2, window.document.dataInput.bootCheck2)") - scaleMenu2.append(("Megabase",'physic')) - scaleMenu2.append(("Centimorgan",'morgan')) - - controlText = HT.Span("Control Locus:", Class="ffl fwb fs12") - controlMenu = HT.Input(type="text", name="controlLocus", Class="controlLocus") - - if fd.genotype.Mbmap: - intMappingMenu = HT.TableLite( - HT.TR(HT.TD(chrText), HT.TD(chrMenu, colspan="3")), - HT.TR(HT.TD(scaleText), HT.TD(scaleMenu1)), - cellspacing=0, width="263px", cellpadding=2) - compMappingMenu = HT.TableLite( - HT.TR(HT.TD(chrText), HT.TD(chrMenu2, colspan="3")), - HT.TR(HT.TD(scaleText), HT.TD(scaleMenu2)), - HT.TR(HT.TD(controlText), HT.TD(controlMenu)), - cellspacing=0, width="325px", cellpadding=2) - else: - intMappingMenu = HT.TableLite( - HT.TR(HT.TD(chrText), HT.TD(chrMenu, colspan="3")), - cellspacing=0, width="263px", cellpadding=2) - compMappingMenu = HT.TableLite( - HT.TR(HT.TD(chrText), HT.TD(chrMenu2, colspan="3")), - HT.TR(HT.TD(controlText), HT.TD(controlMenu)), - cellspacing=0, width="325px", cellpadding=2) - - directPlotButton = "" - directPlotButton = HT.Input(type='button',name='', value=' Compute ',\ - onClick="dataEditingFunc(this.form,'directPlot');",Class="button") - directPlotSortText = HT.Span(HT.Bold("Sort by: "), Class="ffl fwb fs12") - directPlotSortMenu = HT.Select(name='graphSort') - directPlotSortMenu.append(('LRS Full',0)) - directPlotSortMenu.append(('LRS Interact',1)) - directPlotPermuText = HT.Span("Permutation Test (n=500)", Class="ffl fs12") - directPlotPermu = HT.Input(type='checkbox', Class='checkbox',name='directPermuCheckbox', checked="on") - pairScanReturnText = HT.Span(HT.Bold("Return: "), Class="ffl fwb fs12") - pairScanReturnMenu = HT.Select(name='pairScanReturn') - pairScanReturnMenu.append(('top 50','50')) - pairScanReturnMenu.append(('top 100','100')) - pairScanReturnMenu.append(('top 200','200')) - pairScanReturnMenu.append(('top 500','500')) - - pairScanMenus = HT.TableLite( - HT.TR(HT.TD(directPlotSortText), HT.TD(directPlotSortMenu)), - HT.TR(HT.TD(pairScanReturnText), HT.TD(pairScanReturnMenu)), - cellspacing=0, width="232px", cellpadding=2) - - markerSuggestiveText = HT.Span(HT.Bold("Display LRS greater than:"), Class="ffl fwb fs12") - markerSuggestive = HT.Input(name='suggestive', size=5, maxlength=8) - displayAllText = HT.Span(" Display all LRS ", Class="ffl fs12") - displayAll = HT.Input(name='displayAllLRS', type="checkbox", Class='checkbox') - useParentsText = HT.Span(" Use Parents ", Class="ffl fs12") - useParents = optionbox2 - applyVarianceText = HT.Span(" Use Weighted ", Class="ffl fs12") - - markerMenu = HT.TableLite( - HT.TR(HT.TD(markerSuggestiveText), HT.TD(markerSuggestive)), - HT.TR(HT.TD(displayAll,displayAllText)), - HT.TR(HT.TD(useParents,useParentsText)), - HT.TR(HT.TD(applyVariance2,applyVarianceText)), - cellspacing=0, width="263px", cellpadding=2) - - - mapping_row = HT.TR() - mapping_container = HT.Div(id="mapping_tabs", Class="ui-tabs") - - mapping_tab_list = [HT.Href(text="Interval", url="#mappingtabs-1"), HT.Href(text="Marker Regression", url="#mappingtabs-2"), HT.Href(text="Composite", url="#mappingtabs-3"), HT.Href(text="Pair-Scan", url="#mappingtabs-4")] - mapping_tabs = HT.List(mapping_tab_list) - mapping_container.append(mapping_tabs) - - interval_div = HT.Div(id="mappingtabs-1") - interval_container = HT.Span() - - intervalTable = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - intTD = HT.TD(valign="top",NOWRAP='ON', Class="fs12 fwn") - intTD.append(intMappingMenu,HT.BR()) - - intTD.append(permCheck1,'Permutation Test (n=2000)',HT.BR(), - bootCheck1,'Bootstrap Test (n=2000)', HT.BR(), optionbox1, 'Use Parents', HT.BR(), - applyVariance1,'Use Weighted', HT.BR(), HT.BR(),IntervalMappingButton, HT.BR(), HT.BR()) - intervalTable.append(HT.TR(intTD), HT.TR(HT.TD(HT.Span(HT.Href(url='/glossary.html#intmap', target='_blank', text='Interval Mapping'), - ' computes linkage maps for the entire genome or single',HT.BR(),' chromosomes.', - ' The ',HT.Href(url='/glossary.html#permutation', target='_blank', text='Permutation Test'),' estimates suggestive and significant ',HT.BR(),' linkage scores. \ - The ',HT.Href(url='/glossary.html#bootstrap', target='_blank', text='Bootstrap Test'), ' estimates the precision of the QTL location.' - ,Class="fs12"), HT.BR(), valign="top"))) - - interval_container.append(intervalTable) - interval_div.append(interval_container) - mapping_container.append(interval_div) - - # Marker Regression - - marker_div = HT.Div(id="mappingtabs-2") - marker_container = HT.Span() - - markerTable = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - markerTD = HT.TD(valign="top",NOWRAP='ON', Class="fs12 fwn") - markerTD.append(markerMenu,HT.BR()) - - markerTD.append(MarkerRegressionButton,HT.BR(),HT.BR()) - - markerTable.append(HT.TR(markerTD),HT.TR(HT.TD(HT.Span(HT.Href(url='/glossary.html#',target='_blank',text='Marker regression'), - ' computes and displays LRS values for individual markers.',HT.BR(), - 'This function also lists additive effects (phenotype units per allele) and', HT.BR(), - 'dominance deviations for some datasets.', HT.BR(),Class="fs12"), HT.BR(), valign="top"))) - - marker_container.append(markerTable) - marker_div.append(marker_container) - mapping_container.append(marker_div) - - # Composite interval mapping - composite_div = HT.Div(id="mappingtabs-3") - composite_container = HT.Span() - - compositeTable = HT.TableLite(cellspacing=0, cellpadding=3, width="100%") - compTD = HT.TD(valign="top",NOWRAP='ON', Class="fs12 fwn") - compTD.append(compMappingMenu,HT.BR()) - - compTD.append(permCheck2, 'Permutation Test (n=2000)',HT.BR(), - bootCheck2,'Bootstrap Test (n=2000)', HT.BR(), - optionbox3, 'Use Parents', HT.BR(), HT.BR(), CompositeMappingButton, HT.BR(), HT.BR()) - compositeTable.append(HT.TR(compTD), HT.TR(HT.TD(HT.Span(HT.Href(url='/glossary.html#Composite',target='_blank',text='Composite Interval Mapping'), - " allows you to control for a single marker as",HT.BR()," a cofactor. ", - "To find a control marker, run the ",HT.Bold("Marker Regression")," function."), - HT.BR(), valign="top"))) - - composite_container.append(compositeTable) - composite_div.append(composite_container) - mapping_container.append(composite_div) - - # Pair Scan - - pairscan_div = HT.Div(id="mappingtabs-4") - pairscan_container = HT.Span() - - pairScanTable = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - pairScanTD = HT.TD(NOWRAP='ON', Class="fs12 fwn") - pairScanTD.append(pairScanMenus,HT.BR()) - pairScanTD.append(directPlotPermu, directPlotPermuText, HT.BR(), HT.BR(), - directPlotButton,HT.BR(),HT.BR()) - pairScanTable.append(HT.TR(pairScanTD), HT.TR(HT.TD(HT.Span(HT.Href(url='/glossary.html#Pair_Scan', target="_blank", text='Pair-Scan'), - ' searches for pairs of chromosomal regions that are',HT.BR(), - 'involved in two-locus epistatic interactions.'), HT.BR(), valign="top"))) - - pairscan_container.append(pairScanTable) - pairscan_div.append(pairscan_container) - mapping_container.append(pairscan_div) - - mapping_row.append(HT.TD(mapping_container)) - - # Treat Interval Mapping and Marker Regression and Pair Scan as a group for displaying - #disable Interval Mapping and Marker Regression and Pair Scan for human and the dataset doesn't have genotype file - mappingMethodId = webqtlDatabaseFunction.getMappingMethod(cursor=self.cursor, groupName=this_group) - - mapping_script = HT.Script(language="Javascript") - mapping_script_text = """$(function() { $("#mapping_tabs").tabs(); });""" - mapping_script.append(mapping_script_text) - - submitTable = HT.TableLite(cellspacing=0, cellpadding=0, width="100%", Class="target2") - - if not mappingMethodId: - if int(mappingMethodId) == 1: - submitTable.append(mapping_row) - submitTable.append(mapping_script) - elif int(mappingMethodId) == 4: - # NL; 09-26-2011 testing for Human Genome Association function - mapping_row=HT.TR() - mapping_container = HT.Div(id="mapping_tabs", Class="ui-tabs") - - mapping_tab_list = [HT.Href(text="Genome Association", url="#mappingtabs-1")] - mapping_tabs = HT.List(mapping_tab_list) - mapping_container.append(mapping_tabs) - - # Genome Association - markerSuggestiveText = HT.Span(HT.Bold("P Value:"), Class="ffl fwb fs12") - - markerSuggestive = HT.Input(name='pValue', value='0.001', size=10, maxlength=20,onClick="this.value='';",onBlur="if(this.value==''){this.value='0.001'};") - markerMenu = HT.TableLite(HT.TR(HT.TD(markerSuggestiveText), HT.TD(markerSuggestive),HT.TD(HT.Italic(' (e.g. 0.001 or 1e-3 or 1E-3 or 3)'))),cellspacing=0, width="400px", cellpadding=2) - MarkerRegressionButton=HT.Input(type='button',name='computePlink', value=' Compute Using PLINK ', onClick= "validatePvalue(this.form);", Class="button") - - marker_div = HT.Div(id="mappingtabs-1") - marker_container = HT.Span() - markerTable = HT.TableLite(cellspacing=0, cellpadding=0, width="100%") - markerTD = HT.TD(valign="top",NOWRAP='ON', Class="fs12 fwn") - markerTD.append(markerMenu,HT.BR()) - markerTD.append(MarkerRegressionButton,HT.BR(),HT.BR()) - markerTable.append(HT.TR(markerTD)) - - marker_container.append(markerTable) - marker_div.append(marker_container) - - mapping_container.append(marker_div) - mapping_row.append(HT.TD(mapping_container)) - submitTable.append(mapping_row) - submitTable.append(mapping_script) - else: - submitTable.append(HT.TR(HT.TD(HT.Div(HT.Italic("mappingMethodId %s has not been implemented for this dataset yet." % mappingMethodId), id="mapping_tabs", Class="ui-tabs")))) - submitTable.append(mapping_script) - - else: - submitTable.append(HT.TR(HT.TD(HT.Div(HT.Italic("Mapping options are disabled for data not matched with genotypes."), id="mapping_tabs", Class="ui-tabs")))) - submitTable.append(mapping_script) - - title4Body.append(submitTable) - - def make_sample_lists(self, this_trait): all_samples_ordered = self.dataset.group.all_samples_ordered() - + primary_sample_names = list(all_samples_ordered) other_sample_names = [] @@ -1210,7 +210,7 @@ class ShowTrait(object): logger.debug("primary_samples is: ", pf(primary_samples)) logger.debug("other_sample_names2:", other_sample_names) - if other_sample_names and self.dataset.group.species != "human": + if other_sample_names and self.dataset.group.species != "human" and self.dataset.group.name != "CFW": parent_f1_samples = None if self.dataset.group.parlist and self.dataset.group.f1list: parent_f1_samples = self.dataset.group.parlist + self.dataset.group.f1list @@ -1261,10 +261,19 @@ def get_nearest_marker(this_trait, this_db): return result[0][0] #return result[0][0], result[1][0] +def get_genofiles(this_trait): + jsonfile = "%s/%s.json" % (webqtlConfig.GENODIR, this_trait.dataset.group.name) + try: + f = open(jsonfile) + except: + return None + jsondata = json.load(f) + return jsondata['genofile'] + def get_trait_table_width(sample_groups): - table_width = 35 + table_width = 20 if sample_groups[0].se_exists(): - table_width += 10 + table_width += 15 if (table_width + len(sample_groups[0].attributes)*10) > 100: table_width = 100 else: diff --git a/wqflask/wqflask/static/new/css/main.css b/wqflask/wqflask/static/new/css/main.css index 017bbdb8..880395a7 100644 --- a/wqflask/wqflask/static/new/css/main.css +++ b/wqflask/wqflask/static/new/css/main.css @@ -2,3 +2,10 @@ padding-left: 30px; padding-right: 30px; } + +ol { + font-family: Arial; + font-weight: bold; + font-size: 16px; + color: #000082 +}
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/create_corr_matrix.js b/wqflask/wqflask/static/new/javascript/create_corr_matrix.js index adb91295..44ed3c81 100644 --- a/wqflask/wqflask/static/new/javascript/create_corr_matrix.js +++ b/wqflask/wqflask/static/new/javascript/create_corr_matrix.js @@ -1,48 +1,47 @@ // Generated by CoffeeScript 1.8.0 -var get_data, get_options, root; +// var get_data, get_options, root; -root = typeof exports !== "undefined" && exports !== null ? exports : this; +// root = typeof exports !== "undefined" && exports !== null ? exports : this; -$(function() { - var chartOpts, data, mychart; - console.log("js_data:", js_data); - chartOpts = get_options(); - data = get_data(); - console.log(data); - return mychart = corr_matrix(data, chartOpts); -}); - -get_options = function() { - var chartOpts; - chartOpts = { - cortitle: "Correlation Matrix", - scattitle: "Scatterplot", - h: 450, - w: 450, - margin: { - left: 100, - top: 40, - right: 5, - bottom: 70, - inner: 5 - } - }; - return chartOpts; -}; +// $(function() { + // var chartOpts, data, mychart; + // console.log("js_data:", js_data); + // chartOpts = get_options(); + // data = get_data(); + // console.log(data); + // return mychart = corr_matrix(data, chartOpts); +// }); -get_data = function() { - var data; - data = {}; - data["var"] = js_data.traits; - data.group = js_data.groups; - data.indID = js_data.samples; - data.dat = js_data.sample_data; - data.corr = js_data.corr_results; - data.cols = js_data.cols; - data.rows = js_data.rows; - return data; -}; +// get_options = function() { + // var chartOpts; + // chartOpts = { + // cortitle: "Correlation Matrix", + // scattitle: "Scatterplot", + // h: 450, + // w: 450, + // margin: { + // left: 100, + // top: 40, + // right: 5, + // bottom: 70, + // inner: 5 + // } + // }; + // return chartOpts; +// }; +// get_data = function() { + // var data; + // data = {}; + // data["var"] = js_data.traits; + // data.group = js_data.groups; + // data.indID = js_data.samples; + // data.dat = js_data.sample_data; + // data.corr = js_data.corr_results; + // data.cols = js_data.cols; + // data.rows = js_data.rows; + // return data; +// }; var neg_color_scale = chroma.scale(['#FF0000', 'white']).domain([-1, -0.4]); var pos_color_scale = chroma.scale(['white', 'aqua']).domain([0.4, 1]) @@ -57,4 +56,26 @@ $('.corr_cell').each( function () { else { $(this).css('background-color', 'white') } +}); + +$('#short_labels').click( function (){ + $('.shortName').each( function() { + if ($(this).css("display") == "none"){ + $(this).css("display", "block"); + } + else { + $(this).css("display", "none"); + } + }); +}); + +$('#long_labels').click( function (){ + $('.verboseName').each( function() { + if ($(this).css("display") == "none"){ + $(this).css("display", "block"); + } + else { + $(this).css("display", "none"); + } + }); });
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/ctl_graph.js b/wqflask/wqflask/static/new/javascript/ctl_graph.js new file mode 100644 index 00000000..94bd7e9d --- /dev/null +++ b/wqflask/wqflask/static/new/javascript/ctl_graph.js @@ -0,0 +1,199 @@ +window.onload=function() { + // id of Cytoscape Web container div + //var div_id = "cytoscapeweb"; + + var cy = cytoscape({ + container: $('#cytoscapeweb'), // container to render in + + elements: elements_list, + + style: [ // the stylesheet for the graph + { + selector: 'node', + style: { + 'background-color': '#666', + 'label': 'data(symbol)', + 'font-size': 10 + } + }, + + { + selector: 'edge', + style: { + 'width': 'data(width)', + 'line-color': 'data(color)', + 'target-arrow-color': '#ccc', + 'target-arrow-shape': 'none', + 'font-size': 8, + 'curve-style': 'bezier' + } + } + ], + + zoom: 12, + layout: { name: 'circle', + fit: true, // whether to fit the viewport to the graph + padding: 30 // the padding on fit + //idealEdgeLength: function( edge ){ return edge.data['correlation']*10; }, + }, + + + zoomingEnabled: true, + userZoomingEnabled: true, + panningEnabled: true, + userPanningEnabled: true, + boxSelectionEnabled: false, + selectionType: 'single', + + // rendering options: + styleEnabled: true + }); + + var eles = cy.$() // var containing all elements, so elements can be restored after being removed + + var defaults = { + zoomFactor: 0.05, // zoom factor per zoom tick + zoomDelay: 45, // how many ms between zoom ticks + minZoom: 0.1, // min zoom level + maxZoom: 10, // max zoom level + fitPadding: 30, // padding when fitting + panSpeed: 10, // how many ms in between pan ticks + panDistance: 10, // max pan distance per tick + panDragAreaSize: 75, // the length of the pan drag box in which the vector for panning is calculated (bigger = finer control of pan speed and direction) + panMinPercentSpeed: 0.25, // the slowest speed we can pan by (as a percent of panSpeed) + panInactiveArea: 8, // radius of inactive area in pan drag box + panIndicatorMinOpacity: 0.5, // min opacity of pan indicator (the draggable nib); scales from this to 1.0 + zoomOnly: false, // a minimal version of the ui only with zooming (useful on systems with bad mousewheel resolution) + fitSelector: undefined, // selector of elements to fit + animateOnFit: function(){ // whether to animate on fit + return false; + }, + fitAnimationDuration: 1000, // duration of animation on fit + + // icon class names + sliderHandleIcon: 'fa fa-minus', + zoomInIcon: 'fa fa-plus', + zoomOutIcon: 'fa fa-minus', + resetIcon: 'fa fa-expand' + }; + + cy.panzoom( defaults ); + + function create_qtips(cy){ + cy.nodes().qtip({ + content: function(){ + gn_link = '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.data().sid + '&dataset=' + this.data().dataset + '" >'+this.data().id +'</a>'+'</b><br>' + ncbi_link = '<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=' + this.data().geneid + '" >NCBI<a>'+'<br>' + omim_link = '<a href="http://www.ncbi.nlm.nih.gov/omim/' + this.data().omim + '" >OMIM<a>'+'<br>' + qtip_content = gn_link + ncbi_link + omim_link + return qtip_content + //return '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.data().id + '&dataset=' + this.data().dataset + '" >'+this.data().id +'<a>'+'</b>' + }, + // content: { + // title: '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.target() + '&dataset=' + this.dataset() + '" >'+this.target() +'<a>'+'</b>', + // text: this.target, + // button: true + // }, + position: { + my: 'top center', + at: 'bottom center' + }, + style: { + classes: 'qtip-bootstrap', + tip: { + width: 16, + height: 8 + } + } + }); + + cy.edges().qtip({ + content: function(){ + edge_ID = '<b>Edge: ' + this.data().id + '</b><br>' + lod_score = 'LOD: ' + this.data().lod + '<br>' + return edge_ID + lod_score + }, + position: { + my: 'top center', + at: 'bottom center' + }, + style: { + classes: 'qtip-bootstrap', + tip: { + width: 16, + height: 8 + } + } + }); + } + + create_qtips(cy) + + $('#slide').change(function() { + eles.restore() + + console.log(eles) + + // nodes_to_restore = eles.filter("node[max_corr >= " + $(this).val() + "], edge[correlation >= " + $(this).val() + "][correlation <= -" + $(this).val() + "]") + // nodes_to_restore.restore() + + // edges_to_restore = eles.filter("edge[correlation >= " + $(this).val() + "][correlation <= -" + $(this).val() + "]") + // edges_to_restore.restore() + + //cy.$("node[max_corr >= " + $(this).val() + "]").restore(); + //cy.$("edge[correlation >= " + $(this).val() + "][correlation <= -" + $(this).val() + "]").restore(); + + cy.$("node[max_corr < " + $(this).val() + "]").remove(); + cy.$("edge[correlation < " + $(this).val() + "][correlation > -" + $(this).val() + "]").remove(); + + cy.layout({ name: $('select[name=layout_select]').val(), + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }); + + }); + + $('#reset_graph').click(function() { + eles.restore() + $('#slide').val(0) + cy.layout({ name: $('select[name=layout_select]').val(), + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }); + }); + + $('select[name=focus_select]').change(function() { + focus_trait = $(this).val() + + eles.restore() + cy.$('edge[source != "' + focus_trait + '"][target != "' + focus_trait + '"]').remove() + + cy.layout({ name: $('select[name=layout_select]').val(), + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }); + }); + + $('select[name=layout_select]').change(function() { + layout_type = $(this).val() + console.log("LAYOUT:", layout_type) + cy.layout({ name: layout_type, + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }); + }); + + $("a#image_link").click(function(e) { + var pngData = cy.png(); + + $(this).attr('href', pngData); + $(this).attr('download', 'network_graph.png'); + + console.log("TESTING:", image_link) + + }); + + +}; + + diff --git a/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json b/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json index d3db1853..861af3d6 100644 --- a/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json +++ b/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json @@ -117,14 +117,14 @@ "Barley1 Leaf MAS 5.0 SCRI (Dec06)" ], [ - "125", - "B30_K_1206_R", - "Barley1 Leaf gcRMA SCRI (Dec06)" - ], - [ "126", "B30_K_1206_Rn", "Barley1 Leaf gcRMAn SCRI (Dec06)" + ], + [ + "125", + "B30_K_1206_R", + "Barley1 Leaf gcRMA SCRI (Dec06)" ] ], "Phenotypes": [ @@ -1526,14 +1526,14 @@ "NCI Mammary LMT miRNA v2 (Apr09) RMA" ], [ - "36", - "MA_M_0704_M", - "NCI Mammary mRNA M430 (July04) MAS5" - ], - [ "37", "MA_M_0704_R", "NCI Mammary mRNA M430 (July04) RMA" + ], + [ + "36", + "MA_M_0704_M", + "NCI Mammary mRNA M430 (July04) MAS5" ] ] }, @@ -1591,14 +1591,14 @@ ], "Liver mRNA": [ [ - "38", - "LVF2_M_0704_M", - "(B6 x BTBR)F2-ob/ob Liver mRNA M430 (Jul04) MAS5" - ], - [ "39", "LVF2_M_0704_R", "(B6 x BTBR)F2-ob/ob Liver mRNA M430 (Jul04) RMA" + ], + [ + "38", + "LVF2_M_0704_M", + "(B6 x BTBR)F2-ob/ob Liver mRNA M430 (Jul04) MAS5" ] ], "Phenotypes": [ @@ -1616,23 +1616,11 @@ "B6D2Publish", "B6D2 Published Phenotypes" ] - ], - "Retina mRNA": [ - [ - "803", - "UTHSC_mm9_B6D2_Ret_0916", - "UTHSC B6D2 Retina Affy MoGene 1.0ST (Sep16) Gene Level RMA" - ] ] }, "B6D2F2": { "Brain mRNA": [ [ - "78", - "BRF2_M_0805_P", - "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) PDNN" - ], - [ "77", "BRF2_M_0805_R", "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) RMA" @@ -1643,19 +1631,24 @@ "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) MAS5" ], [ + "78", + "BRF2_M_0805_P", + "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) PDNN" + ], + [ "33", "BRF2_M_0304_P", "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) PDNN" ], [ - "31", - "BRF2_M_0304_M", - "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) MAS5" - ], - [ "32", "BRF2_M_0304_R", "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) RMA" + ], + [ + "31", + "BRF2_M_0304_M", + "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) MAS5" ] ], "Genotypes": [ @@ -1683,6 +1676,23 @@ ] }, "B6D2RI": { + "Hippocampus mRNA": [ + [ + "712", + "UTHSC_BXDAged_0615", + "UTHSC BXD Aged Hippocampus Affy Mouse Gene 1.0 ST (Jun15) RMA" + ], + [ + "805", + "UTHSC_BXDAgedEx_1116", + "UTHSC BXD Aged Hippocampus Affy Mouse Gene 1.0 ST (Jun15) Exon Level RMA" + ], + [ + "391", + "UTHSC_B6D2RI_H_0912", + "UTHSC B6D2RI Aged Hippocampus Affy Mouse Gene 1.0 ST (Sep12) RMA" + ] + ], "Phenotypes": [ [ "None", @@ -1717,11 +1727,6 @@ ], "Striatum mRNA": [ [ - "83", - "SA_M2_0905_M", - "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) MAS5" - ], - [ "85", "SA_M2_0905_P", "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) PDNN" @@ -1730,6 +1735,11 @@ "84", "SA_M2_0905_R", "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) RMA" + ], + [ + "83", + "SA_M2_0905_M", + "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) MAS5" ] ] }, @@ -2071,11 +2081,6 @@ "Eye M430v2 WT Gpnmb (Sep08) RMA" ], [ - "382", - "Eye_M2_0908_WTWT", - "Eye M430v2 WT WT (Sep08) RMA" - ], - [ "279", "Eye_M2_0908_R_WT", "Eye M430v2 WT Tyrp1 (Sep08) RMA" @@ -2086,6 +2091,11 @@ "Eye M430v2 Mutant Tyrp1 (Sep08) RMA" ], [ + "382", + "Eye_M2_0908_WTWT", + "Eye M430v2 WT WT (Sep08) RMA" + ], + [ "400", "DBA2J-ONH-1212", "Howell et al. 2011, DBA/2J Glaucoma Optic Nerve Head M430 2.0 (Dec12) RMA" @@ -2322,16 +2332,16 @@ ], "Kidney mRNA": [ [ - "240", - "MA_M2M_0706_R", - "Mouse kidney M430v2 Male (Aug06) RMA" - ], - [ "239", "MA_M2F_0706_R", "Mouse kidney M430v2 Female (Aug06) RMA" ], [ + "240", + "MA_M2M_0706_R", + "Mouse kidney M430v2 Male (Aug06) RMA" + ], + [ "118", "MA_M2_0806_R", "Mouse kidney M430v2 Sex Balanced (Aug06) RMA" @@ -2342,14 +2352,14 @@ "Mouse Kidney M430v2 Sex Balanced (Aug06) PDNN" ], [ - "115", - "MA_M2_0706_R", - "Mouse Kidney M430v2 (Jul06) RMA" - ], - [ "116", "MA_M2_0706_P", "Mouse Kidney M430v2 (Jul06) PDNN" + ], + [ + "115", + "MA_M2_0706_R", + "Mouse Kidney M430v2 (Jul06) RMA" ] ], "Liver Metabolome": [ @@ -2418,8 +2428,23 @@ ], "Liver mRNA": [ [ + "430", + "EPFLMouseLiverRMA0413", + "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" + ], + [ + "431", + "EPFLMouseLiverHFDRMA0413", + "EPFL/LISP BXD HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" + ], + [ + "432", + "EPFLMouseLiverCDRMA0413", + "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" + ], + [ "700", - "UT-VGX_HGL1014", + "UTHSC-VGX_MmBXDHepatocytesRMA1014", "UT-VGX Hepatocytes Affy Mouse Gene 1.0 ST Gene Level (Oct14) RMA" ], [ @@ -2441,21 +2466,6 @@ "702", "SUH_Liv_RMAEx_0611", "SUH BXD Liver CCl4-treated Affy Mouse Gene 1.0 ST Exon Level (Jun11) RMA" - ], - [ - "430", - "EPFLMouseLiverRMA0413", - "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" - ], - [ - "431", - "EPFLMouseLiverHFDRMA0413", - "EPFL/LISP BXD HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" - ], - [ - "432", - "EPFLMouseLiverCDRMA0413", - "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" ] ], "Lung mRNA": [ @@ -2479,21 +2489,6 @@ ], "Muscle mRNA": [ [ - "395", - "EPFLMouseMuscleRMA_Ex1112", - "EPFL/LISP BXD CD+HFD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" - ], - [ - "396", - "EPFLMouseMuscleHFDRMAEx1112", - "EPFL/LISP BXD HFD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" - ], - [ - "397", - "EPFLMouseMuscleCDRMAEx1112", - "EPFL/LISP BXD CD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" - ], - [ "378", "EPFLMouseMuscleRMA1211", "EPFL/LISP BXD CD+HFD Muscle Affy Mouse Gene 1.0 ST (Dec11) RMA" @@ -2507,20 +2502,35 @@ "379", "EPFLMouseMuscleCDRMA1211", "EPFL/LISP BXD CD Muscle Affy Mouse Gene 1.0 ST (Dec11) RMA" + ], + [ + "395", + "EPFLMouseMuscleRMA_Ex1112", + "EPFL/LISP BXD CD+HFD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" + ], + [ + "396", + "EPFLMouseMuscleHFDRMAEx1112", + "EPFL/LISP BXD HFD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" + ], + [ + "397", + "EPFLMouseMuscleCDRMAEx1112", + "EPFL/LISP BXD CD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" ] ], "Neocortex mRNA": [ [ - "374", - "DevNeocortex_ILM6.2P3RInv_1111", - "BIDMC/UTHSC Dev Neocortex P3 ILMv6.2 (Nov11) RankInv" - ], - [ "375", "DevNeocortex_ILM6.2P14RInv_1111", "BIDMC/UTHSC Dev Neocortex P14 ILMv6.2 (Nov11) RankInv" ], [ + "374", + "DevNeocortex_ILM6.2P3RInv_1111", + "BIDMC/UTHSC Dev Neocortex P3 ILMv6.2 (Nov11) RankInv" + ], + [ "284", "HQFNeoc_1210v2_RankInv", "HQF BXD Neocortex ILM6v1.1 (Dec10v2) RankInv" @@ -2751,11 +2761,6 @@ ], "Ventral Tegmental Area mRNA": [ [ - "228", - "VCUSal_0609_R", - "VCU BXD VTA Sal M430 2.0 (Jun09) RMA" - ], - [ "230", "VCUEtvsSal_0609_R", "VCU BXD VTA Et vs Sal M430 2.0 (Jun09) RMA" @@ -2764,6 +2769,20 @@ "229", "VCUEtOH_0609_R", "VCU BXD VTA EtOH M430 2.0 (Jun09) RMA" + ], + [ + "228", + "VCUSal_0609_R", + "VCU BXD VTA Sal M430 2.0 (Jun09) RMA" + ] + ] + }, + "BXD-Bone": { + "Phenotypes": [ + [ + "None", + "BXD-BonePublish", + "BXD-Bone Published Phenotypes" ] ] }, @@ -2830,6 +2849,51 @@ ] ] }, + "CFW": { + "Hippocampus mRNA": [ + [ + "811", + "UCSD_CFW_HIP_RNA-Seq_log2_0117", + "UCSD CFW Hippocampus (Jan17) RNA-Seq Log2 Z-score" + ], + [ + "808", + "UCSD_CFW_HIP_RNA-Seq_0117", + "UCSD CFW Hippocampus (Jan17) RNA-Seq" + ] + ], + "Phenotypes": [ + [ + "None", + "CFWPublish", + "CFW Published Phenotypes" + ] + ], + "Prefrontal Cortex mRNA": [ + [ + "813", + "UCSD_CFW_PFC_RNA-Seq_log2_0117", + "UCSD CFW Prefrontal Cortex (Jan17) RNA-Seq Log2 Z-score" + ], + [ + "810", + "UCSD_CFW_PFC_RNA-Seq_0117", + "UCSD CFW Prefrontal Cortex (Jan17) RNA-Seq" + ] + ], + "Striatum mRNA": [ + [ + "812", + "UCSD_CFW_STR_RNA-Seq_log2_0117", + "UCSD CFW Striatum (Jan17) RNA-Seq Log2 Z-score" + ], + [ + "809", + "UCSD_CFW_SPL_RNA-Seq_0117", + "UCSD CFW Striatum (Jan17) RNA-Seq" + ] + ] + }, "CIE-INIA": { "LCM Brain Regions mRNA": [ [ @@ -2959,14 +3023,14 @@ ], "Hippocampus mRNA": [ [ - "99", - "HC_M2CB_1205_P", - "Hippocampus Consortium M430v2 CXB (Dec05) PDNN" - ], - [ "100", "HC_M2CB_1205_R", "Hippocampus Consortium M430v2 CXB (Dec05) RMA" + ], + [ + "99", + "HC_M2CB_1205_P", + "Hippocampus Consortium M430v2 CXB (Dec05) PDNN" ] ], "Phenotypes": [ @@ -3033,16 +3097,6 @@ ], "Hippocampus mRNA": [ [ - "214", - "Illum_LXS_Hipp_NOE_1008", - "Hippocampus Illumina NOE (Oct08) RankInv beta" - ], - [ - "211", - "Illum_LXS_Hipp_RSS_1008", - "Hippocampus Illumina RSS (Oct08) RankInv beta" - ], - [ "213", "Illum_LXS_Hipp_NOS_1008", "Hippocampus Illumina NOS (Oct08) RankInv beta" @@ -3058,6 +3112,16 @@ "Hippocampus Illumina RSE (Oct08) RankInv beta" ], [ + "214", + "Illum_LXS_Hipp_NOE_1008", + "Hippocampus Illumina NOE (Oct08) RankInv beta" + ], + [ + "211", + "Illum_LXS_Hipp_RSS_1008", + "Hippocampus Illumina RSS (Oct08) RankInv beta" + ], + [ "143", "Illum_LXS_Hipp_loess0807", "Hippocampus Illumina (Aug07) LOESS" @@ -3148,14 +3212,14 @@ ], "Hippocampus mRNA": [ [ - "272", - "HC_M2_0606_MDP", - "Hippocampus Consortium M430v2 (Jun06) RMA MDP" - ], - [ "273", "UMUTAffyExon_0209_RMA_MDP", "UMUTAffy Hippocampus Exon (Feb09) RMA MDP" + ], + [ + "272", + "HC_M2_0606_MDP", + "Hippocampus Consortium M430v2 (Jun06) RMA MDP" ] ], "Liver mRNA": [ @@ -3227,6 +3291,17 @@ }, "Scripps-2013": {} }, + "poplar": { + "Poplar": { + "Phenotypes": [ + [ + "649", + "PoplarPublish", + "Poplar Published Phenotypes" + ] + ] + } + }, "rat": { "HSNIH-Palmer": { "Phenotypes": [ @@ -3524,6 +3599,10 @@ "BXD" ], [ + "BXD-Bone", + "BXD Bone" + ], + [ "BXH", "BXH" ], @@ -3532,6 +3611,10 @@ "Reduced Complexity Cross (B6JxB6N F2)" ], [ + "CFW", + "CFW Outbred GWAS" + ], + [ "CIE-INIA", "Chronic Intermittent Ethanol" ], @@ -3580,6 +3663,12 @@ "SOTNOT-OHSU" ] ], + "poplar": [ + [ + "Poplar", + "Poplar" + ] + ], "rat": [ [ "HSNIH-Palmer", @@ -3618,15 +3707,15 @@ "species": [ [ "human", - "Human" + "Human (hg19)" ], [ "mouse", - "Mouse" + "Mouse (mm10)" ], [ "rat", - "Rat" + "Rat (rn3)" ], [ "drosophila", @@ -3641,6 +3730,10 @@ "Barley" ], [ + "poplar", + "Poplar" + ], + [ "soybean", "Soybean" ], @@ -4387,10 +4480,6 @@ [ "Phenotypes", "Phenotypes" - ], - [ - "Retina mRNA", - "Retina mRNA" ] ], "B6D2F2": [ @@ -4417,6 +4506,10 @@ [ "Phenotypes", "Phenotypes" + ], + [ + "Hippocampus mRNA", + "Hippocampus mRNA" ] ], "BDF2-1999": [ @@ -4621,6 +4714,12 @@ "Ventral Tegmental Area mRNA" ] ], + "BXD-Bone": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], "BXH": [ [ "Phenotypes", @@ -4653,6 +4752,24 @@ "Genotypes" ] ], + "CFW": [ + [ + "Phenotypes", + "Phenotypes" + ], + [ + "Hippocampus mRNA", + "Hippocampus mRNA" + ], + [ + "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA" + ], + [ + "Striatum mRNA", + "Striatum mRNA" + ] + ], "CIE-INIA": [ [ "Phenotypes", @@ -4813,6 +4930,14 @@ ], "Scripps-2013": [] }, + "poplar": { + "Poplar": [ + [ + "Phenotypes", + "Phenotypes" + ] + ] + }, "rat": { "HSNIH-Palmer": [ [ diff --git a/wqflask/wqflask/static/new/javascript/dataset_select_menu.js b/wqflask/wqflask/static/new/javascript/dataset_select_menu.js index 43b0960c..9ad38102 100644 --- a/wqflask/wqflask/static/new/javascript/dataset_select_menu.js +++ b/wqflask/wqflask/static/new/javascript/dataset_select_menu.js @@ -1,10 +1,10 @@ $(function() { - var gndata; // loaded once for all to use - process_json = function(data) { - populate_species(); - return apply_default(); - }; - $.getJSON(gn_server_url+"/int/menu/main.json", + var gndata; // loaded once for all to use + process_json = function(data) { + populate_species(); + return apply_default(); + }; + $.getJSON(gn_server_url+"int/menu/main.json", function(data) { gndata = data; console.log("***** GOT DATA from GN_SERVER ****"); diff --git a/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js b/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js index 1fe4cf75..fd96eb78 100644 --- a/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js +++ b/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js @@ -4,7 +4,9 @@ $(function() { process_json = function(data) { window.jdata = data; populate_species(); - return apply_default(); + if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) + return apply_default(); + } }; $.ajax('/static/new/javascript/dataset_menu_structure.json', { dataType: 'json', @@ -23,7 +25,9 @@ $(function() { species = $('#species').val(); group_list = this.jdata.groups[species]; redo_dropdown($('#group'), group_list); - return populate_type(); + if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) + return populate_type(); + } }; window.populate_group = populate_group; populate_type = function() { @@ -70,7 +74,12 @@ $(function() { })(this)); $('#group').change((function(_this) { return function() { - return populate_type(); + if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) + return populate_type(); + } + else { + return false + } }; })(this)); $('#type').change((function(_this) { diff --git a/wqflask/wqflask/static/new/javascript/draw_probability_plot.js b/wqflask/wqflask/static/new/javascript/draw_probability_plot.js index 1eeb6e73..e5787564 100644 --- a/wqflask/wqflask/static/new/javascript/draw_probability_plot.js +++ b/wqflask/wqflask/static/new/javascript/draw_probability_plot.js @@ -45,8 +45,7 @@ chart = nv.models.scatterChart().width(w).height(h).showLegend(true).color(d3.scale.category10().range()); chart.pointRange([50, 50]); chart.legend.updateState(false); - chart.xAxis.axisLabel("Theoretical quantiles").tickFormat(d3.format('.02f')); - //chart.yAxis.axisLabel("Sample quantiles").tickFormat(d3.format('.02f')); + chart.xAxis.axisLabel("Expected Z score").tickFormat(d3.format('.02f')); chart.tooltipContent(function(obj) { return '<b style="font-size: 20px">' + obj.point.name + '</b>'; }); @@ -79,7 +78,7 @@ } return results; })(); - chart.yAxis.axisLabel("Sample quantiles").tickFormat(d3.format('.0'+max_decimals.toString()+'f')); + chart.yAxis.axisLabel("Trait value").tickFormat(d3.format('.0'+max_decimals.toString()+'f')); sw_result = ShapiroWilkW(sorted_values); W = sw_result.w.toFixed(3); pvalue = sw_result.p.toFixed(3); @@ -115,7 +114,12 @@ data = [make_data('samples_primary'), make_data('samples_other')]; console.log("THE DATA IS:", data); d3.select("#prob_plot_container svg").datum(data).call(chart); - $("#prob_plot_title").html("<h3>Normal probability plot</h3>" + test_str); + if (js_data.trait_symbol != null) { + $("#prob_plot_title").html("<h3>" + js_data.trait_symbol + ": " + js_data.trait_id + "</h3>"); + } else { + $("#prob_plot_title").html("<h3>" + js_data.trait_id + "</h3>"); + } + $("#shapiro_wilk_text").html(test_str) $("#prob_plot_container .nv-legendWrap").toggle(sample_group === "samples_all"); return chart; }; diff --git a/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js b/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js index a73eafe4..bcd83889 100644 --- a/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js +++ b/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js @@ -226,10 +226,8 @@ back_to_collections = function() { return $('#collections_holder').colorbox.resize(); }; -$(function() { - console.log("inside get_traits_from_collection"); - $(document).on("click", ".collection_line", collection_click); - $(document).on("click", "#submit", submit_click); - $(document).on("click", ".trait", trait_click); - return $(document).on("click", "#back_to_collections", back_to_collections); -}); +console.log("inside get_traits_from_collection"); +$(".collection_line").on("click", collection_click); +$("#submit").on("click", submit_click); +$(".trait").on("click", trait_click); +$("#back_to_collections").on("click", back_to_collections);
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/histogram.js b/wqflask/wqflask/static/new/javascript/histogram.js index d26d0c03..f71080e8 100644 --- a/wqflask/wqflask/static/new/javascript/histogram.js +++ b/wqflask/wqflask/static/new/javascript/histogram.js @@ -103,7 +103,6 @@ Histogram.prototype.add_bars = function() { var bar, rect_width; - console.log("bar_width:", this.x_scale(this.histogram_data[0].dx)); bar = this.svg.selectAll(".bar").data(this.histogram_data).enter().append("g").attr("class", "bar").attr("transform", (function(_this) { return function(d) { return "translate(" + _this.x_scale(d.x) + "," + _this.y_scale(d.y) + ")"; diff --git a/wqflask/wqflask/static/new/javascript/loadings_plot.js b/wqflask/wqflask/static/new/javascript/loadings_plot.js new file mode 100644 index 00000000..c44288c0 --- /dev/null +++ b/wqflask/wqflask/static/new/javascript/loadings_plot.js @@ -0,0 +1,109 @@ +var margin = {top: 20, right: 70, bottom: 60, left: 60} + , width = 960 - margin.left - margin.right + , height = 500 - margin.top - margin.bottom; + +var x = d3.scale.linear() + .domain([d3.min(loadings, function(d) { return d[0]; }) + 0.1*d3.min(loadings, function(d) { return d[0]; }), d3.max(loadings, function(d) { return d[0]; })]) + .range([ 0, width ]); + +var y = d3.scale.linear() + .domain([d3.min(loadings, function(d) { return d[1]; }) + 0.1*d3.min(loadings, function(d) { return d[1]; }), d3.max(loadings, function(d) { return d[1]; })]) + .range([ height, 0 ]); + +var chart = d3.select('#loadings_plot') + .append('svg:svg') + .attr('width', width + margin.right + margin.left) + .attr('height', height + margin.top + margin.bottom) + .attr('class', 'chart') + +var main = chart.append('g') + .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')') + .attr('width', width) + .attr('height', height) + .attr('class', 'main') + +// draw the x axis +var xAxis = d3.svg.axis() + .scale(x) + .orient('bottom'); + +main.append('g') + .attr('transform', 'translate(0,' + height + ')') + .attr('class', 'x axis') + .call(xAxis); + +chart.append("text") + .attr("class", "x label") + .attr("text-anchor", "end") + .attr("x", 550) + .attr("y", 480) + .style("font-size", 14) + .style("fill", "blue") + .text("Factor (1)"); + +chart.append("text") + .attr("class", "y label") + .attr("text-anchor", "end") + .attr("x", -200) + .attr("y", 5) + .attr("dy", ".75em") + .attr("transform", "rotate(-90)") + .style("font-size", 14) + .style("fill", "blue") + .text("Factor (2)"); + +// draw the y axis +var yAxis = d3.svg.axis() + .scale(y) + .orient('left'); + +main.append('g') + .attr('transform', 'translate(0,0)') + .attr('class', 'y axis') + .call(yAxis); + +chart.select('.x.axis') + .selectAll("text") + .style("font-size","14px"); + +chart.select('.y.axis') + .selectAll("text") + .style("font-size","14px"); + +var g = main.append("svg:g"); + +g.selectAll("scatter-dots") + .data(loadings) + .enter().append("svg:circle") + .attr("cx", function (d,i) { return x(d[0]); } ) + .attr("cy", function (d) { return y(d[1]); } ) + .attr("r", 4) + .style("fill", "blue"); + +traits_and_loadings = [] +for (i = 0; i < js_data.traits.length; i++) { + this_trait_loadings = [] + this_trait_loadings[0] = js_data.traits[i] + this_trait_loadings[1] = [loadings[i][0], loadings[i][1]] + traits_and_loadings[i] = this_trait_loadings +} + +g.selectAll("scatter-dots") + .data(traits_and_loadings) + .enter().append("text") + .attr("x", function(d, i) { return x(d[1][0]); }) + .attr("y", function(d) { return y(d[1][1]); }) + .text(function(d) { return d[0]; }) + .style("font-size", 12) + .style("fill", "blue"); + +g.selectAll("scatter-lines") + .data(loadings) + .enter().append("svg:line") + .attr("x1", x(0)) + .attr("y1", y(0)) + .attr("x2", function (d,i) {return x(d[0]); } ) + .attr("y2", function (d) { return y(d[1]); } ) + .attr("stroke-width", 1) + .attr("stroke", "red"); +
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/show_trait.js b/wqflask/wqflask/static/new/javascript/show_trait.js index 19955b07..8223a38c 100644 --- a/wqflask/wqflask/static/new/javascript/show_trait.js +++ b/wqflask/wqflask/static/new/javascript/show_trait.js @@ -18,19 +18,19 @@ }, { vn: "mean", pretty: "Mean", - digits: 2 + digits: 3 }, { vn: "median", pretty: "Median", - digits: 2 + digits: 3 }, { vn: "std_error", pretty: "Standard Error (SE)", - digits: 2 + digits: 3 }, { vn: "std_dev", pretty: "Standard Deviation (SD)", - digits: 2 + digits: 3 }, { vn: "min", pretty: "Minimum", @@ -42,16 +42,16 @@ }, { vn: "range", pretty: "Range (log2)", - digits: 2 + digits: 3 }, { vn: "range_fold", pretty: "Range (fold)", - digits: 2 + digits: 3 }, { vn: "interquartile", pretty: "Interquartile Range", url: "http://www.genenetwork.org/glossary.html#Interquartile", - digits: 2 + digits: 3 } ]; @@ -179,8 +179,13 @@ if (!__hasProp.call(_ref, key)) continue; value = _ref[key]; the_id = process_id("column", key); - header += "<th id=\"" + the_id + "\" style=\"padding-left: 5px;\">" + value + "</th>"; + if (Object.keys(_ref).length > 1) { + header += "<th id=\"" + the_id + "\" style=\"padding-left: 5px;\">" + value + "</th>"; + } else { + header += "<th id=\"" + the_id + "\" style=\"padding-left: 5px;\">Value</th>"; + } } + header += "</thead>"; the_rows = "<tbody>"; for (_i = 0, _len = Stat_Table_Rows.length; _i < _len; _i++) { diff --git a/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js b/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js index e9db0a12..d6cd8134 100644 --- a/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js +++ b/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js @@ -166,8 +166,9 @@ return function() { var form_data, url; //$("#progress_bar_container").modal(); - url = "/marker_regression"; + url = "/loading"; $('input[name=method]').val("pylmm"); + $('input[name=genofile]').val($('#genofile_pylmm').val()); $('input[name=num_perm]').val($('input[name=num_perm_pylmm]').val()); $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_pylmm]:checked').val()); form_data = $('#trait_data_form').serialize(); @@ -181,8 +182,9 @@ return function() { var form_data, url; //$("#progress_bar_container").modal(); - url = "/marker_regression"; + url = "/loading"; $('input[name=method]').val("rqtl_geno"); + $('input[name=genofile]').val($('#genofile_rqtl_geno').val()); $('input[name=num_perm]').val($('input[name=num_perm_rqtl_geno]').val()); $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_rqtl]:checked').val()); $('input[name=control_marker]').val($('input[name=control_rqtl_geno]').val()); @@ -210,7 +212,7 @@ return function() { var form_data, url; //$("#static_progress_bar_container").modal(); - url = "/marker_regression"; + url = "/loading"; $('input[name=method]').val("plink"); $('input[name=maf]').val($('input[name=maf_plink]').val()); form_data = $('#trait_data_form').serialize(); @@ -225,7 +227,7 @@ var form_data, url; console.log("RUNNING GEMMA"); //$("#static_progress_bar_container").modal(); - url = "/marker_regression"; + url = "/loading"; $('input[name=method]').val("gemma"); $('input[name=maf]').val($('input[name=maf_gemma]').val()); form_data = $('#trait_data_form').serialize(); @@ -240,8 +242,9 @@ var form_data, url; console.log("In interval mapping"); //$("#progress_bar_container").modal(); - url = "/marker_regression"; + url = "/loading"; $('input[name=method]').val("reaper"); + $('input[name=genofile]').val($('#genofile_reaper').val()); $('input[name=num_perm]').val($('input[name=num_perm_reaper]').val()); $('input[name=control_marker]').val($('input[name=control_reaper]').val()); $('input[name=do_control]').val($('input[name=do_control_reaper]:checked').val()); diff --git a/wqflask/wqflask/static/new/packages/DataTables/css/jquery.dataTables.css b/wqflask/wqflask/static/new/packages/DataTables/css/jquery.dataTables.css index 6540d01f..40e58ac8 100644 --- a/wqflask/wqflask/static/new/packages/DataTables/css/jquery.dataTables.css +++ b/wqflask/wqflask/static/new/packages/DataTables/css/jquery.dataTables.css @@ -20,8 +20,14 @@ table.dataTable tfoot th { } table.dataTable thead th, table.dataTable thead td { - padding: 10px 18px 10px 0px; - border-bottom: 1px solid #111; + font: bold 12px/20px Arial, Sans-serif; + color: #000000; + background-color: #ffffff; + border-collapse: collapse; + border-bottom: #cccccc 2px solid; + padding: 0; + //padding: 10px 18px 10px 0px; + //border-bottom: 1px solid #111; } table.dataTable thead th:active, table.dataTable thead td:active { @@ -29,8 +35,13 @@ table.dataTable thead td:active { } table.dataTable tfoot th, table.dataTable tfoot td { - padding: 10px 18px 6px 18px; - border-top: 1px solid #111; + font: bold 12px/20px Arial, Sans-serif; + color: #000000; + background-color: #ffffff; + border-collapse: collapse; + padding: 0; + //padding: 10px 18px 6px 18px; + //border-top: 1px solid #111; } table.dataTable thead .sorting, table.dataTable thead .sorting_asc, @@ -69,7 +80,8 @@ table.dataTable tbody tr.selected { } table.dataTable tbody th, table.dataTable tbody td { - padding: 4px 5px; + font: 12px Arial, Sans-serif; + padding: 4px 16px 4px 0px; } table.dataTable.row-border tbody th, table.dataTable.row-border tbody td, table.dataTable.display tbody th, table.dataTable.display tbody td { border-top: 1px solid #ddd; diff --git a/wqflask/wqflask/static/new/packages/DataTables/extensions/buttons.colVis.min.js b/wqflask/wqflask/static/new/packages/DataTables/extensions/buttons.colVis.min.js new file mode 100644 index 00000000..072d6c9a --- /dev/null +++ b/wqflask/wqflask/static/new/packages/DataTables/extensions/buttons.colVis.min.js @@ -0,0 +1,5 @@ +(function(g){"function"===typeof define&&define.amd?define(["jquery","datatables.net","datatables.net-buttons"],function(d){return g(d,window,document)}):"object"===typeof exports?module.exports=function(d,e){d||(d=window);if(!e||!e.fn.dataTable)e=require("datatables.net")(d,e).$;e.fn.dataTable.Buttons||require("datatables.net-buttons")(d,e);return g(e,d,d.document)}:g(jQuery,window,document)})(function(g,d,e,h){d=g.fn.dataTable;g.extend(d.ext.buttons,{colvis:function(a,b){return{extend:"collection", +text:function(a){return a.i18n("buttons.colvis","Column visibility")},className:"buttons-colvis",buttons:[{extend:"columnsToggle",columns:b.columns}]}},columnsToggle:function(a,b){return a.columns(b.columns).indexes().map(function(a){return{extend:"columnToggle",columns:a}}).toArray()},columnToggle:function(a,b){return{extend:"columnVisibility",columns:b.columns}},columnsVisibility:function(a,b){return a.columns(b.columns).indexes().map(function(a){return{extend:"columnVisibility",columns:a,visibility:b.visibility}}).toArray()}, +columnVisibility:{columns:h,text:function(a,b,c){return c._columnText(a,c.columns)},className:"buttons-columnVisibility",action:function(a,b,c,f){a=b.columns(f.columns);b=a.visible();a.visible(f.visibility!==h?f.visibility:!(b.length&&b[0]))},init:function(a,b,c){var f=this;a.on("column-visibility.dt"+c.namespace,function(b,d){d.bDestroying||f.active(a.column(c.columns).visible())}).on("column-reorder.dt"+c.namespace,function(b,d,e){1===a.columns(c.columns).count()&&("number"===typeof c.columns&& +(c.columns=e.mapping[c.columns]),b=a.column(c.columns),f.text(c._columnText(a,c.columns)),f.active(b.visible()))});this.active(a.column(c.columns).visible())},destroy:function(a,b,c){a.off("column-visibility.dt"+c.namespace).off("column-reorder.dt"+c.namespace)},_columnText:function(a,b){var c=a.column(b).index();return a.settings()[0].aoColumns[c].sTitle.replace(/\n/g," ").replace(/<.*?>/g,"").replace(/^\s+|\s+$/g,"")}},colvisRestore:{className:"buttons-colvisRestore",text:function(a){return a.i18n("buttons.colvisRestore", +"Restore visibility")},init:function(a,b,c){c._visOriginal=a.columns().indexes().map(function(b){return a.column(b).visible()}).toArray()},action:function(a,b,c,d){b.columns().every(function(a){a=b.colReorder&&b.colReorder.transpose?b.colReorder.transpose(a,"toOriginal"):a;this.visible(d._visOriginal[a])})}},colvisGroup:{className:"buttons-colvisGroup",action:function(a,b,c,d){b.columns(d.show).visible(!0,!1);b.columns(d.hide).visible(!1,!1);b.columns.adjust()},show:[],hide:[]}});return d.Buttons});
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/packages/DataTables/extensions/dataTables.buttons.min.js b/wqflask/wqflask/static/new/packages/DataTables/extensions/dataTables.buttons.min.js new file mode 100644 index 00000000..ae3fb9c8 --- /dev/null +++ b/wqflask/wqflask/static/new/packages/DataTables/extensions/dataTables.buttons.min.js @@ -0,0 +1,35 @@ +/*! + Buttons for DataTables 1.2.4 + Š2016 SpryMedia Ltd - datatables.net/license +*/ +(function(d){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(n){return d(n,window,document)}):"object"===typeof exports?module.exports=function(n,o){n||(n=window);if(!o||!o.fn.dataTable)o=require("datatables.net")(n,o).$;return d(o,n,n.document)}:d(jQuery,window,document)})(function(d,n,o,m){var i=d.fn.dataTable,u=0,v=0,j=i.ext.buttons,l=function(a,b){!0===b&&(b={});d.isArray(b)&&(b={buttons:b});this.c=d.extend(!0,{},l.defaults,b);b.buttons&&(this.c.buttons=b.buttons); +this.s={dt:new i.Api(a),buttons:[],listenKeys:"",namespace:"dtb"+u++};this.dom={container:d("<"+this.c.dom.container.tag+"/>").addClass(this.c.dom.container.className)};this._constructor()};d.extend(l.prototype,{action:function(a,b){var c=this._nodeToButton(a);if(b===m)return c.conf.action;c.conf.action=b;return this},active:function(a,b){var c=this._nodeToButton(a),e=this.c.dom.button.active,c=d(c.node);if(b===m)return c.hasClass(e);c.toggleClass(e,b===m?!0:b);return this},add:function(a,b){var c= +this.s.buttons;if("string"===typeof b){for(var e=b.split("-"),c=this.s,d=0,h=e.length-1;d<h;d++)c=c.buttons[1*e[d]];c=c.buttons;b=1*e[e.length-1]}this._expandButton(c,a,!1,b);this._draw();return this},container:function(){return this.dom.container},disable:function(a){a=this._nodeToButton(a);d(a.node).addClass(this.c.dom.button.disabled);return this},destroy:function(){d("body").off("keyup."+this.s.namespace);var a=this.s.buttons.slice(),b,c;b=0;for(c=a.length;b<c;b++)this.remove(a[b].node);this.dom.container.remove(); +a=this.s.dt.settings()[0];b=0;for(c=a.length;b<c;b++)if(a.inst===this){a.splice(b,1);break}return this},enable:function(a,b){if(!1===b)return this.disable(a);var c=this._nodeToButton(a);d(c.node).removeClass(this.c.dom.button.disabled);return this},name:function(){return this.c.name},node:function(a){a=this._nodeToButton(a);return d(a.node)},remove:function(a){var b=this._nodeToButton(a),c=this._nodeToHost(a),e=this.s.dt;if(b.buttons.length)for(var g=b.buttons.length-1;0<=g;g--)this.remove(b.buttons[g].node); +b.conf.destroy&&b.conf.destroy.call(e.button(a),e,d(a),b.conf);this._removeKey(b.conf);d(b.node).remove();a=d.inArray(b,c);c.splice(a,1);return this},text:function(a,b){var c=this._nodeToButton(a),e=this.c.dom.collection.buttonLiner,e=c.inCollection&&e&&e.tag?e.tag:this.c.dom.buttonLiner.tag,g=this.s.dt,h=d(c.node),f=function(a){return"function"===typeof a?a(g,h,c.conf):a};if(b===m)return f(c.conf.text);c.conf.text=b;e?h.children(e).html(f(b)):h.html(f(b));return this},_constructor:function(){var a= +this,b=this.s.dt,c=b.settings()[0],e=this.c.buttons;c._buttons||(c._buttons=[]);c._buttons.push({inst:this,name:this.c.name});for(var c=0,g=e.length;c<g;c++)this.add(e[c]);b.on("destroy",function(){a.destroy()});d("body").on("keyup."+this.s.namespace,function(b){if(!o.activeElement||o.activeElement===o.body){var c=String.fromCharCode(b.keyCode).toLowerCase();a.s.listenKeys.toLowerCase().indexOf(c)!==-1&&a._keypress(c,b)}})},_addKey:function(a){a.key&&(this.s.listenKeys+=d.isPlainObject(a.key)?a.key.key: +a.key)},_draw:function(a,b){a||(a=this.dom.container,b=this.s.buttons);a.children().detach();for(var c=0,e=b.length;c<e;c++)a.append(b[c].inserter),b[c].buttons&&b[c].buttons.length&&this._draw(b[c].collection,b[c].buttons)},_expandButton:function(a,b,c,e){for(var g=this.s.dt,h=0,b=!d.isArray(b)?[b]:b,f=0,r=b.length;f<r;f++){var k=this._resolveExtends(b[f]);if(k)if(d.isArray(k))this._expandButton(a,k,c,e);else{var p=this._buildButton(k,c);if(p){e!==m?(a.splice(e,0,p),e++):a.push(p);if(p.conf.buttons){var s= +this.c.dom.collection;p.collection=d("<"+s.tag+"/>").addClass(s.className);p.conf._collection=p.collection;this._expandButton(p.buttons,p.conf.buttons,!0,e)}k.init&&k.init.call(g.button(p.node),g,d(p.node),k);h++}}}},_buildButton:function(a,b){var c=this.c.dom.button,e=this.c.dom.buttonLiner,g=this.c.dom.collection,h=this.s.dt,f=function(b){return"function"===typeof b?b(h,k,a):b};b&&g.button&&(c=g.button);b&&g.buttonLiner&&(e=g.buttonLiner);if(a.available&&!a.available(h,a))return!1;var r=function(a, +b,c,e){e.action.call(b.button(c),a,b,c,e);d(b.table().node()).triggerHandler("buttons-action.dt",[b.button(c),b,c,e])},k=d("<"+c.tag+"/>").addClass(c.className).attr("tabindex",this.s.dt.settings()[0].iTabIndex).attr("aria-controls",this.s.dt.table().node().id).on("click.dtb",function(b){b.preventDefault();!k.hasClass(c.disabled)&&a.action&&r(b,h,k,a);k.blur()}).on("keyup.dtb",function(b){b.keyCode===13&&!k.hasClass(c.disabled)&&a.action&&r(b,h,k,a)});"a"===c.tag.toLowerCase()&&k.attr("href","#"); +e.tag?(g=d("<"+e.tag+"/>").html(f(a.text)).addClass(e.className),"a"===e.tag.toLowerCase()&&g.attr("href","#"),k.append(g)):k.html(f(a.text));!1===a.enabled&&k.addClass(c.disabled);a.className&&k.addClass(a.className);a.titleAttr&&k.attr("title",a.titleAttr);a.namespace||(a.namespace=".dt-button-"+v++);e=(e=this.c.dom.buttonContainer)&&e.tag?d("<"+e.tag+"/>").addClass(e.className).append(k):k;this._addKey(a);return{conf:a,node:k.get(0),inserter:e,buttons:[],inCollection:b,collection:null}},_nodeToButton:function(a, +b){b||(b=this.s.buttons);for(var c=0,e=b.length;c<e;c++){if(b[c].node===a)return b[c];if(b[c].buttons.length){var d=this._nodeToButton(a,b[c].buttons);if(d)return d}}},_nodeToHost:function(a,b){b||(b=this.s.buttons);for(var c=0,e=b.length;c<e;c++){if(b[c].node===a)return b;if(b[c].buttons.length){var d=this._nodeToHost(a,b[c].buttons);if(d)return d}}},_keypress:function(a,b){var c=function(e){for(var g=0,h=e.length;g<h;g++){var f=e[g].conf,r=e[g].node;if(f.key)if(f.key===a)d(r).click();else if(d.isPlainObject(f.key)&& +f.key.key===a&&(!f.key.shiftKey||b.shiftKey))if(!f.key.altKey||b.altKey)if(!f.key.ctrlKey||b.ctrlKey)(!f.key.metaKey||b.metaKey)&&d(r).click();e[g].buttons.length&&c(e[g].buttons)}};c(this.s.buttons)},_removeKey:function(a){if(a.key){var b=d.isPlainObject(a.key)?a.key.key:a.key,a=this.s.listenKeys.split(""),b=d.inArray(b,a);a.splice(b,1);this.s.listenKeys=a.join("")}},_resolveExtends:function(a){for(var b=this.s.dt,c,e,g=function(c){for(var e=0;!d.isPlainObject(c)&&!d.isArray(c);){if(c===m)return; +if("function"===typeof c){if(c=c(b,a),!c)return!1}else if("string"===typeof c){if(!j[c])throw"Unknown button type: "+c;c=j[c]}e++;if(30<e)throw"Buttons: Too many iterations";}return d.isArray(c)?c:d.extend({},c)},a=g(a);a&&a.extend;){if(!j[a.extend])throw"Cannot extend unknown button type: "+a.extend;var h=g(j[a.extend]);if(d.isArray(h))return h;if(!h)return!1;c=h.className;a=d.extend({},h,a);c&&a.className!==c&&(a.className=c+" "+a.className);var f=a.postfixButtons;if(f){a.buttons||(a.buttons=[]); +c=0;for(e=f.length;c<e;c++)a.buttons.push(f[c]);a.postfixButtons=null}if(f=a.prefixButtons){a.buttons||(a.buttons=[]);c=0;for(e=f.length;c<e;c++)a.buttons.splice(c,0,f[c]);a.prefixButtons=null}a.extend=h.extend}return a}});l.background=function(a,b,c){c===m&&(c=400);a?d("<div/>").addClass(b).css("display","none").appendTo("body").fadeIn(c):d("body > div."+b).fadeOut(c,function(){d(this).removeClass(b).remove()})};l.instanceSelector=function(a,b){if(!a)return d.map(b,function(a){return a.inst});var c= +[],e=d.map(b,function(a){return a.name}),g=function(a){if(d.isArray(a))for(var f=0,r=a.length;f<r;f++)g(a[f]);else"string"===typeof a?-1!==a.indexOf(",")?g(a.split(",")):(a=d.inArray(d.trim(a),e),-1!==a&&c.push(b[a].inst)):"number"===typeof a&&c.push(b[a].inst)};g(a);return c};l.buttonSelector=function(a,b){for(var c=[],e=function(a,b,c){for(var d,g,f=0,h=b.length;f<h;f++)if(d=b[f])g=c!==m?c+f:f+"",a.push({node:d.node,name:d.conf.name,idx:g}),d.buttons&&e(a,d.buttons,g+"-")},g=function(a,b){var f, +h,i=[];e(i,b.s.buttons);f=d.map(i,function(a){return a.node});if(d.isArray(a)||a instanceof d){f=0;for(h=a.length;f<h;f++)g(a[f],b)}else if(null===a||a===m||"*"===a){f=0;for(h=i.length;f<h;f++)c.push({inst:b,node:i[f].node})}else if("number"===typeof a)c.push({inst:b,node:b.s.buttons[a].node});else if("string"===typeof a)if(-1!==a.indexOf(",")){i=a.split(",");f=0;for(h=i.length;f<h;f++)g(d.trim(i[f]),b)}else if(a.match(/^\d+(\-\d+)*$/))f=d.map(i,function(a){return a.idx}),c.push({inst:b,node:i[d.inArray(a, +f)].node});else if(-1!==a.indexOf(":name")){var j=a.replace(":name","");f=0;for(h=i.length;f<h;f++)i[f].name===j&&c.push({inst:b,node:i[f].node})}else d(f).filter(a).each(function(){c.push({inst:b,node:this})});else"object"===typeof a&&a.nodeName&&(i=d.inArray(a,f),-1!==i&&c.push({inst:b,node:f[i]}))},h=0,f=a.length;h<f;h++)g(b,a[h]);return c};l.defaults={buttons:["copy","excel","csv","pdf","print"],name:"main",tabIndex:0,dom:{container:{tag:"div",className:"dt-buttons"},collection:{tag:"div",className:"dt-button-collection"}, +button:{tag:"a",className:"dt-button",active:"active",disabled:"disabled"},buttonLiner:{tag:"span",className:""}}};l.version="1.2.4";d.extend(j,{collection:{text:function(a){return a.i18n("buttons.collection","Collection")},className:"buttons-collection",action:function(a,b,c,e){var a=c.offset(),g=d(b.table().container()),h=!1;d("div.dt-button-background").length&&(h=d(".dt-button-collection").offset(),d("body").trigger("click.dtb-collection"));e._collection.addClass(e.collectionLayout).css("display", +"none").appendTo("body").fadeIn(e.fade);var f=e._collection.css("position");h&&"absolute"===f?e._collection.css({top:h.top,left:h.left}):"absolute"===f?(e._collection.css({top:a.top+c.outerHeight(),left:a.left}),c=a.left+e._collection.outerWidth(),g=g.offset().left+g.width(),c>g&&e._collection.css("left",a.left-(c-g))):(a=e._collection.height()/2,a>d(n).height()/2&&(a=d(n).height()/2),e._collection.css("marginTop",-1*a));e.background&&l.background(!0,e.backgroundClassName,e.fade);setTimeout(function(){d("div.dt-button-background").on("click.dtb-collection", +function(){});d("body").on("click.dtb-collection",function(a){var c=d.fn.addBack?"addBack":"andSelf";if(!d(a.target).parents()[c]().filter(e._collection).length){e._collection.fadeOut(e.fade,function(){e._collection.detach()});d("div.dt-button-background").off("click.dtb-collection");l.background(false,e.backgroundClassName,e.fade);d("body").off("click.dtb-collection");b.off("buttons-action.b-internal")}})},10);if(e.autoClose)b.on("buttons-action.b-internal",function(){d("div.dt-button-background").click()})}, +background:!0,collectionLayout:"",backgroundClassName:"dt-button-background",autoClose:!1,fade:400},copy:function(a,b){if(j.copyHtml5)return"copyHtml5";if(j.copyFlash&&j.copyFlash.available(a,b))return"copyFlash"},csv:function(a,b){if(j.csvHtml5&&j.csvHtml5.available(a,b))return"csvHtml5";if(j.csvFlash&&j.csvFlash.available(a,b))return"csvFlash"},excel:function(a,b){if(j.excelHtml5&&j.excelHtml5.available(a,b))return"excelHtml5";if(j.excelFlash&&j.excelFlash.available(a,b))return"excelFlash"},pdf:function(a, +b){if(j.pdfHtml5&&j.pdfHtml5.available(a,b))return"pdfHtml5";if(j.pdfFlash&&j.pdfFlash.available(a,b))return"pdfFlash"},pageLength:function(a){var a=a.settings()[0].aLengthMenu,b=d.isArray(a[0])?a[0]:a,c=d.isArray(a[0])?a[1]:a,e=function(a){return a.i18n("buttons.pageLength",{"-1":"Show all rows",_:"Show %d rows"},a.page.len())};return{extend:"collection",text:e,className:"buttons-page-length",autoClose:!0,buttons:d.map(b,function(a,b){return{text:c[b],className:"button-page-length",action:function(b, +c){c.page.len(a).draw()},init:function(b,c,e){var d=this,c=function(){d.active(b.page.len()===a)};b.on("length.dt"+e.namespace,c);c()},destroy:function(a,b,c){a.off("length.dt"+c.namespace)}}}),init:function(a,b,c){var d=this;a.on("length.dt"+c.namespace,function(){d.text(e(a))})},destroy:function(a,b,c){a.off("length.dt"+c.namespace)}}}});i.Api.register("buttons()",function(a,b){b===m&&(b=a,a=m);this.selector.buttonGroup=a;var c=this.iterator(!0,"table",function(c){if(c._buttons)return l.buttonSelector(l.instanceSelector(a, +c._buttons),b)},!0);c._groupSelector=a;return c});i.Api.register("button()",function(a,b){var c=this.buttons(a,b);1<c.length&&c.splice(1,c.length);return c});i.Api.registerPlural("buttons().active()","button().active()",function(a){return a===m?this.map(function(a){return a.inst.active(a.node)}):this.each(function(b){b.inst.active(b.node,a)})});i.Api.registerPlural("buttons().action()","button().action()",function(a){return a===m?this.map(function(a){return a.inst.action(a.node)}):this.each(function(b){b.inst.action(b.node, +a)})});i.Api.register(["buttons().enable()","button().enable()"],function(a){return this.each(function(b){b.inst.enable(b.node,a)})});i.Api.register(["buttons().disable()","button().disable()"],function(){return this.each(function(a){a.inst.disable(a.node)})});i.Api.registerPlural("buttons().nodes()","button().node()",function(){var a=d();d(this.each(function(b){a=a.add(b.inst.node(b.node))}));return a});i.Api.registerPlural("buttons().text()","button().text()",function(a){return a===m?this.map(function(a){return a.inst.text(a.node)}): +this.each(function(b){b.inst.text(b.node,a)})});i.Api.registerPlural("buttons().trigger()","button().trigger()",function(){return this.each(function(a){a.inst.node(a.node).trigger("click")})});i.Api.registerPlural("buttons().containers()","buttons().container()",function(){var a=d(),b=this._groupSelector;this.iterator(!0,"table",function(c){if(c._buttons)for(var c=l.instanceSelector(b,c._buttons),d=0,g=c.length;d<g;d++)a=a.add(c[d].container())});return a});i.Api.register("button().add()",function(a, +b){var c=this.context;c.length&&(c=l.instanceSelector(this._groupSelector,c[0]._buttons),c.length&&c[0].add(b,a));return this.button(this._groupSelector,a)});i.Api.register("buttons().destroy()",function(){this.pluck("inst").unique().each(function(a){a.destroy()});return this});i.Api.registerPlural("buttons().remove()","buttons().remove()",function(){this.each(function(a){a.inst.remove(a.node)});return this});var q;i.Api.register("buttons.info()",function(a,b,c){var e=this;if(!1===a)return d("#datatables_buttons_info").fadeOut(function(){d(this).remove()}), +clearTimeout(q),q=null,this;q&&clearTimeout(q);d("#datatables_buttons_info").length&&d("#datatables_buttons_info").remove();d('<div id="datatables_buttons_info" class="dt-button-info"/>').html(a?"<h2>"+a+"</h2>":"").append(d("<div/>")["string"===typeof b?"html":"append"](b)).css("display","none").appendTo("body").fadeIn();c!==m&&0!==c&&(q=setTimeout(function(){e.buttons.info(!1)},c));return this});i.Api.register("buttons.exportData()",function(a){if(this.context.length){for(var b=new i.Api(this.context[0]), +c=d.extend(!0,{},{rows:null,columns:"",modifier:{search:"applied",order:"applied"},orthogonal:"display",stripHtml:!0,stripNewlines:!0,decodeEntities:!0,trim:!0,format:{header:function(a){return e(a)},footer:function(a){return e(a)},body:function(a){return e(a)}}},a),e=function(a){if("string"!==typeof a)return a;c.stripHtml&&(a=a.replace(/<[^>]*>/g,""));c.trim&&(a=a.replace(/^\s+|\s+$/g,""));c.stripNewlines&&(a=a.replace(/\n/g," "));c.decodeEntities&&(t.innerHTML=a,a=t.value);return a},a=b.columns(c.columns).indexes().map(function(a){var d= +b.column(a).header();return c.format.header(d.innerHTML,a,d)}).toArray(),g=b.table().footer()?b.columns(c.columns).indexes().map(function(a){var d=b.column(a).footer();return c.format.footer(d?d.innerHTML:"",a,d)}).toArray():null,h=b.rows(c.rows,c.modifier).indexes().toArray(),f=b.cells(h,c.columns),h=f.render(c.orthogonal).toArray(),f=f.nodes().toArray(),j=a.length,k=0<j?h.length/j:0,l=Array(k),m=0,n=0;n<k;n++){for(var o=Array(j),q=0;q<j;q++)o[q]=c.format.body(h[m],n,q,f[m]),m++;l[n]=o}return{header:a, +footer:g,body:l}}});var t=d("<textarea/>")[0];d.fn.dataTable.Buttons=l;d.fn.DataTable.Buttons=l;d(o).on("init.dt plugin-init.dt",function(a,b){if("dt"===a.namespace){var c=b.oInit.buttons||i.defaults.buttons;c&&!b._buttons&&(new l(b,c)).container()}});i.ext.feature.push({fnInit:function(a){var a=new i.Api(a),b=a.init().buttons||i.defaults.buttons;return(new l(a,b)).container()},cFeature:"B"});return l});
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/packages/DataTables/extensions/scroller.dataTables.min.css b/wqflask/wqflask/static/new/packages/DataTables/extensions/scroller.dataTables.min.css new file mode 100644 index 00000000..284cb376 --- /dev/null +++ b/wqflask/wqflask/static/new/packages/DataTables/extensions/scroller.dataTables.min.css @@ -0,0 +1 @@ +div.DTS{display:block !important}div.DTS tbody th,div.DTS tbody td{white-space:nowrap}div.DTS div.DTS_Loading{z-index:1}div.DTS div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, #fff 10px, #fff 20px)}div.DTS div.dataTables_scrollBody table{z-index:2}div.DTS div.dataTables_paginate,div.DTS div.dataTables_length{display:none}
\ No newline at end of file diff --git a/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css b/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css index 2c20f635..91aaa98f 100644 --- a/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css +++ b/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css @@ -2088,7 +2088,7 @@ th { border-top: 1px solid #ddd; } .table > thead > tr > th { - vertical-align: bottom; + vertical-align: middle; border-bottom: 2px solid #ddd; } .table > caption + thead > tr:first-child > th, diff --git a/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css b/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css index 076b6dae..9da73a8f 100644 --- a/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css +++ b/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css @@ -28,7 +28,7 @@ body { /* Reset the container */ .container { - width: 1200px; + width: 1400px; max-width: none !important; } diff --git a/wqflask/wqflask/templates/base.html b/wqflask/wqflask/templates/base.html index 210c5708..ec55ebeb 100644 --- a/wqflask/wqflask/templates/base.html +++ b/wqflask/wqflask/templates/base.html @@ -81,10 +81,10 @@ </div> </div> - <div class="container-fluid" style="background-color: #d5d5d5; height: 95px;"> + <div class="container-fluid" style="position: relative; background-color: #d5d5d5; height: 95px;"> <form method="get" action="/gsearch"> - <div class="row"> + <div class="row" style="position: absolute; bottom: 0; top: 30px;"> <select class="form-control col-xs-2" style="width: 170px; margin-top: 15px; margin-left: 10px;" name="type"> <option value="gene">Genes / Molecules</option> <option value="phenotype" {% if type=="phenotype" %}selected{% endif %}>Phenotypes</option> diff --git a/wqflask/wqflask/templates/collections/list.html b/wqflask/wqflask/templates/collections/list.html index 23e976e9..6dc52c4d 100644 --- a/wqflask/wqflask/templates/collections/list.html +++ b/wqflask/wqflask/templates/collections/list.html @@ -26,7 +26,7 @@ {% endif %} </div> - <div id="collections_list" style="width:75%;"> + <div id="collections_list" style="width:50%;"> <table class="table table-hover table-striped" id='trait_table'> <thead> <tr> @@ -49,15 +49,11 @@ {% endif %} <td>{{ timeago(uc.created_timestamp.isoformat() + "Z") }}</td> <td>{{ timeago(uc.changed_timestamp.isoformat() + "Z") }}</td> - <td>{{ uc.num_members }}</td> + <td align="right">{{ uc.num_members }}</td> </tr> {% endfor %} </tbody> </table> - - {# if "color_by_trait" in params #} - <script type="text/javascript" src="/static/new/javascript/get_traits_from_collection.js"></script> - {# endif #} </div> </div> @@ -78,17 +74,23 @@ <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> <script language="javascript" type="text/javascript" src="/static/packages/DT_bootstrap/DT_bootstrap.js"></script> <script language="javascript" type="text/javascript" src="/static/packages/TableTools/media/js/TableTools.min.js"></script> + {% if "color_by_trait" in params %} + <script type="text/javascript" src="/static/new/javascript/get_traits_from_collection.js"></script> + {% endif %} <script> $('#trait_table').dataTable( { - "buttons": [ - { - extend: 'csvHtml5', - text: 'Download CSV', - title: 'collection_list', - fieldBoundary: '"' - } + "columns": [ + { "type": "natural", + "width": "10%" }, + { "type": "natural" }, + { "type": "natural", + "width": "25%" }, + { "type": "natural", + "width": "25%" }, + { "type": "natural", + "width": "10%" } ], - "sDom": "RZBtir", + "sDom": "RZtr", "iDisplayLength": -1, "autoWidth": true, "bDeferRender": true, diff --git a/wqflask/wqflask/templates/collections/view.html b/wqflask/wqflask/templates/collections/view.html index 801266d3..9d03e6d7 100644 --- a/wqflask/wqflask/templates/collections/view.html +++ b/wqflask/wqflask/templates/collections/view.html @@ -79,20 +79,20 @@ <button class="btn btn-default" id="export_traits">Download CSV</button> </form> <br /> - <div style="background-color: #eeeeee; border: 1px solid black;"> - <table id="trait_table" class="table table-hover table-striped"> + <div> + <table class="table table-hover table-striped nowrap" id='trait_table' style="float: left;"> <thead> <tr> - <th style="background-color: #eeeeee;"></th> - <th data-export="Index" style="background-color: #eeeeee;">Index</th> - <th data-export="Dataset" style="background-color: #eeeeee;">Dataset</th> - <th data-export="Record" style="background-color: #eeeeee;">Record</th> - <th data-export="Description" style="background-color: #eeeeee;">Description</th> - <th data-export="Location" style="background-color: #eeeeee;">Location</th> - <th data-export="Mean" style="background-color: #eeeeee;">Mean</th> - <th data-export="Max LRS" style="background-color: #eeeeee;">Max LRS<a href="http://genenetwork.org//glossary.html#L" target="_blank"><sup style="color:#f00"> ?</sup></a></th> - <th data-export="Max LRS Location" style="background-color: #eeeeee;">Max LRS Location</th> - <th data-export="Additive Effect" style="background-color: #eeeeee;">Additive Effect<a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th></th> + <th data-export="Index">Index</th> + <th data-export="Dataset">Dataset</th> + <th data-export="Record">Record</th> + <th data-export="Description">Description</th> + <th data-export="Location">Location</th> + <th data-export="Mean">Mean</th> + <th data-export="Max LRS">Max LRS<a href="http://genenetwork.org//glossary.html#L" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th data-export="Max LRS Location">Max LRS Location</th> + <th data-export="Additive Effect">Additive Effect<a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> </tr> </thead> @@ -103,7 +103,7 @@ <INPUT TYPE="checkbox" NAME="searchResult" class="checkbox trait_checkbox" VALUE="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"> </TD> - <TD data-export="{{ loop.index }}">{{ loop.index }}</TD> + <TD data-export="{{ loop.index }}" align="right">{{ loop.index }}</TD> <TD data-export="{{ this_trait.dataset.name }}">{{ this_trait.dataset.name }}</TD> <TD data-export="{{ this_trait.name }}"> <a href="{{ url_for('show_trait_page', @@ -113,12 +113,12 @@ {{ this_trait.name }} </a> </TD> - <TD data-export="{{ this_trait.description_display }}">{{ this_trait.description_display }}</TD> + <TD title="{{ this_trait.description_display }}" data-export="{{ this_trait.description_display }}">{{ this_trait.description_display }}</TD> <TD data-export="{{ this_trait.location_repr }}">{{ this_trait.location_repr }}</TD> - <TD data-export="{{ this_trait.mean }}">{{ '%0.3f' % this_trait.mean|float }}</TD> - <TD data-export="{{ this_trait.LRS_score_repr }}">{{ '%0.3f' % this_trait.LRS_score_repr|float }}</TD> + <TD data-export="{{ this_trait.mean }}" align="right">{{ '%0.3f' % this_trait.mean|float }}</TD> + <TD data-export="{{ this_trait.LRS_score_repr }}" align="right">{{ '%0.3f' % this_trait.LRS_score_repr|float }}</TD> <TD data-export="{{ this_trait.LRS_location_repr }}">{{ this_trait.LRS_location_repr }}</TD> - <TD data-export="{{ this_trait.additive }}">{{ '%0.3f' % this_trait.additive|float }}</TD> + <TD data-export="{{ this_trait.additive }}" align="right">{{ '%0.3f' % this_trait.additive|float }}</TD> </TR> {% endfor %} @@ -156,23 +156,34 @@ console.time("Creating table"); $('#trait_table').dataTable( { + "createdRow": function ( row, data, index ) { + if ($('td', row).eq(4).text().length > 50) { + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 50)); + $('td', row).eq(4).text($('td', row).eq(4).text() + '...') + } + }, "columns": [ { "type": "natural" }, - { "type": "natural" }, + { "type": "natural", "width": "5%" }, { "type": "natural" }, { "type": "natural" }, { "type": "natural", - "width": "35%" }, + "width": "30%" }, { "type": "natural", - "width": "15%" }, + "width": "10%" }, { "type": "cust-txt" }, { "type": "natural", - "width": "9%" }, + "width": "6%" }, + { "type": "natural", + "width": "10%" }, { "type": "natural", - "width": "15%" }, - { "type": "natural" } + "width": "8%" } ], - "sDom": "ZRtir", + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "sDom": "ZRtr", "iDisplayLength": -1, "autoWidth": true, "bDeferRender": true, diff --git a/wqflask/wqflask/templates/correlation_matrix.html b/wqflask/wqflask/templates/correlation_matrix.html index 593c7bea..eb675568 100644 --- a/wqflask/wqflask/templates/correlation_matrix.html +++ b/wqflask/wqflask/templates/correlation_matrix.html @@ -12,11 +12,12 @@ {{ header("Correlation Matrix") }} +<div class="container"> {% if lowest_overlap < 8 %} <div style="margin: 20px;" >Caution: This matrix of correlations contains some cells with small sample sizes of fewer than 8.</div> {% endif %} -<table class="matrix" border="1" cellpadding="5" cellspacing="1" style="margin: 20px;" width="80%"> +<table class="matrix" border="1" cellpadding="5" cellspacing="1" width="80%"> <tbody> <tr> <td style="background-color: royalblue;" ></td> @@ -26,35 +27,53 @@ <td align="center" rowspan="{{traits|length + 1 }}" width="10" style="font-weight: Bold; border: 1px solid #999999; padding: 3px; color: #fff; background-color: royalblue;">P e a r s o n r</td> <td width="300"></td> {% for trait in traits %} - <td align="center"><a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}" style="font-weight: Bold;">Trait{{ loop.index }}</a></td> + <td align="center"> + <a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}" style="font-weight: Bold;">Trait{{ loop.index }}</a> + </td> {% endfor %} </tr> {% for trait in traits %} <tr> - <td><a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}" style="font-weight: Bold;">Trait {{ loop.index }}: {{ trait.dataset.name }}::{{ trait.name }}</a><div id="shortName_0" style="display:none">Symbol: {{ trait.symbol }} </div><div id="verboseName_0" style="display:none">{{ trait_symbol }} on Chr {{ trait.chr }} @ {{ trait.mb }} Mb</div><div id="verboseName2_0" style="display:none">{{ trait.description }}</div><div id="verboseName3_0" style="display:none">{{ trait.probe_target_description }}</div></td> + <td> + <a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}" style="font-weight: Bold;">Trait {{ loop.index }}: {{ trait.dataset.name }}::{{ trait.name }}</a> + <div class="shortName" style="display:none">{% if trait.dataset.type == "ProbeSet" %}Symbol: {{ trait.symbol }}{% elif trait.dataset.type == "Publish" %}Phenotype: {{ trait.post_publication_abbreviation }}{% else %}Genotype{% endif %} </div> + <div class="verboseName" style="display: none;"> + {% if trait.dataset.type == "ProbeSet" %} + <div>{{ trait.symbol }} on Chr {{ trait.chr }} @ {{ trait.mb }} Mb</div><div>{{ trait.description }}</div><div>{{ trait.probe_target_description }}</div> + {% elif trait.dataset.type == "Publish" %} + <div>PubMed {{ trait.pubmed_id }}: RecordID/{{ trait.name }}</div><div>Phenotype: {{ trait.description_display }}</div> + {% else %} + <div>Locus {{ trait.name }}</div><div>Chr {{ trait.chr }} @ {{ trait.mb }} Mb</div> + {% endif %} + </div> + </td> {% for result in corr_results[loop.index-1] %} {% if result[0].name == trait.name %} - <td nowrap="ON" align="center" bgcolor="#cccccc"><a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}"><font style="font-size: 11px; color: #000000;" ><em>n</em><br>{{ result[2] }}</font></a></td> + <td nowrap="ON" align="center" bgcolor="#cccccc" style="line-height: 1.1;"><a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}"><font style="font-size: 12px; color: #000000;" ><em>n</em><br>{{ result[2] }}</font></a></td> {% else %} - <td nowrap="ON" align="middle" class="corr_cell"><a href="/corr_scatter_plot?dataset_1={{ trait.dataset.name }}&dataset_2={{ result[0].dataset.name }}&trait_1={{ trait.name }}&trait_2={{ result[0].name }}"><font style="font-size: 11px; color: #000000;" ><span class="corr_value">{{ '%0.3f' % result[1] }}</span><br>{{ result[2] }}</font></a></td> + <td nowrap="ON" align="middle" class="corr_cell" style="line-height: 1.1;"><a href="/corr_scatter_plot?dataset_1={{ trait.dataset.name }}&dataset_2={{ result[0].dataset.name }}&trait_1={{ trait.name }}&trait_2={{ result[0].name }}"><font style="font-size: 12px; color: #000000;" ><span class="corr_value">{{ '%0.3f' % result[1] }}</span><br>{{ result[2] }}</font></a></td> {% endif %} {% endfor %} </tr> {% endfor %} </tbody> </table> - <br> - +<button class="btn btn-default" id="short_labels">Short Labels</button> +<button class="btn btn-default" id="long_labels">Long Labels</button> +<br> +<br> +<h2>Factor Loadings Plot</h2> <div id="loadings_plot"></div> +<h2>Factor Loadings Table</h2> <table class="table table-hover table-striped" border="1" id='trait_table' style="margin: 20px;" width="40%"> <thead> <tr> <th></th> <th align="right" >Factor 1</th> <th align="right" >Factor 2</th> - <th align="right" >Factor 2</th> + {% if trait_list|length > 2 %}<th align="right" >Factor 3</th>{% endif %} <!-- {% for row in loadings_array %} <th>Factor {{ loop.index }}</th> @@ -79,12 +98,14 @@ </tbody> </table> +</div> {% endblock %} {% block js %} <script> + js_data = {{ js_data | safe }} loadings = {{ loadings_array | safe }} </script> @@ -98,5 +119,6 @@ <script type="text/javascript" src="/static/new/javascript/panelutil.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/chroma.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/loadings_plot.js"></script> + <script type="text/javascript" src="/static/new/javascript/create_corr_matrix.js"></script> {% endblock %} diff --git a/wqflask/wqflask/templates/correlation_page.html b/wqflask/wqflask/templates/correlation_page.html index c5b4477b..cedb65a1 100644 --- a/wqflask/wqflask/templates/correlation_page.html +++ b/wqflask/wqflask/templates/correlation_page.html @@ -14,8 +14,8 @@ <h1>Correlation Table</h1> </div> - <p>Values of record {{ this_trait.name }} in the <a href="/static/dbdoc/{{dataset.fullname}}">{{ dataset.fullname }}</a> - dataset were compared to all records in the <a href="/static/dbdoc/{{target_dataset.fullname}}">{{ target_dataset.fullname }}</a> + <p>Values of record {{ this_trait.name }} in the <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId={{ dataset.group.accession_id }}">{{ dataset.fullname }}</a> + dataset were compared to all records in the <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId={{ target_dataset.group.accession_id }}">{{ target_dataset.fullname }}</a> dataset. The top {{ return_number }} correlations ranked by the {{ formatted_corr_type }} are displayed. You can resort this list by clicking the headers. Select the Record ID to open the trait data and analysis page. @@ -220,6 +220,20 @@ }; + jQuery.fn.dataTableExt.oSort['scientific-asc'] = function ( a, b ) { + var x = parseFloat(a); + var y = parseFloat(b); + return ((x < y) ? -1 : ((x > y) ? 1 : 0)); + }; + + jQuery.fn.dataTableExt.oSort['scientific-desc'] = function ( a, b ) { + var x = parseFloat(a); + var y = parseFloat(b); + return ((x < y) ? 1 : ((x > y) ? -1 : 0)); + }; + + + $(document).ready( function () { $('#trait_table tr').click(function(event) { @@ -258,13 +272,13 @@ { "type": "natural" }, { "type": "natural" }, { "type": "natural" }, - { "type": "numeric-html" }, { "type": "natural" }, { "type": "natural" }, + { "type": "scientific" }, { "type": "natural" }, { "type": "natural" } ], - "order": [[10, "desc" ]], + "order": [[12, "asc" ]], "sDom": "Btir", "autoWidth": false, "bDeferRender": true, @@ -304,9 +318,9 @@ { "type": "natural" }, { "type": "numeric-html" }, { "type": "natural" }, - { "type": "natural" } + { "type": "scientific" } ], - "order": [[9, "desc" ]], + "order": [[11, "asc" ]], "sDom": "Btir", "autoWidth": false, "bDeferRender": true, @@ -337,9 +351,9 @@ { "type": "natural" }, { "type": "numeric-html" }, { "type": "natural" }, - { "type": "natural" } + { "type": "scientific" } ], - "order": [[4, "desc" ]], + "order": [[6, "asc" ]], "sDom": "Btir", "autoWidth": false, "bDeferRender": true, diff --git a/wqflask/wqflask/templates/ctl_results.html b/wqflask/wqflask/templates/ctl_results.html index 00ccecb6..969ca18a 100644 --- a/wqflask/wqflask/templates/ctl_results.html +++ b/wqflask/wqflask/templates/ctl_results.html @@ -1,17 +1,30 @@ {% extends "base.html" %} +{% block css %} + <link rel="stylesheet" type="text/css" href="/static/new/css/network_graph.css" /> + <link rel="stylesheet" type="text/css" href="/static/packages/cytoscape/css/cytoscape.js-panzoom.css" /> + <link rel="stylesheet" type="text/css" href="http://cdnjs.cloudflare.com/ajax/libs/qtip2/2.2.0/jquery.qtip.css"> + <style> + /* The Cytoscape Web container must have its dimensions set. */ + html, body { height: 100%; width: 100%; padding: 0; margin: 0; } + #cytoscapeweb { width: 70%; height: 70%; } + </style> +{% endblock %} + {% block title %}CTL results{% endblock %} {% block content %} <!-- Start of body --> <div class="container"> <h1>CTL Results</h1> {{(request.form['trait_list'].split(',')|length)}} phenotypes as input<br> - <h3>Network Figure</h3> + + <!-- <a href="/tmp/{{ results['imgurl1'] }}"> <img alt="Embedded Image" src="data:image/png;base64, {% for elem in results['imgdata1'] -%} {% print("%c"|format(elem)) %} {%- endfor %} - " /></a> + " /></a> --> + <h3>CTL/QTL Plots for individual traits</h3> {% for r in range(2, (request.form['trait_list'].split(',')|length +1)) %} <a href="/tmp/{{ results['imgurl' + r|string] }}"> @@ -39,9 +52,26 @@ </tr> {% endfor %} </table> + <h3>Network Figure</h3> + <div id="cytoscapeweb" class="col-xs-9" style="min-height:700px !important;"></div> +</div> +{% endblock %} +{% block js %} + <script> + elements_list = {{ elements | safe }} + </script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.js"></script> + <script language="javascript" type="text/javascript" src="http://cdnjs.cloudflare.com/ajax/libs/qtip2/2.2.0/jquery.qtip.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/underscore/underscore-min.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/cytoscape/js/min/cytoscape.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/cytoscape/js/min/AC_OETags.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/cytoscape/js/min/json2.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/cytoscape/js/src/cytoscape-panzoom.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/cytoscape/js/src/cytoscape-qtip.js"></script> -</div> + <script language="javascript" type="text/javascript" src="/static/new/javascript/ctl_graph.js"></script> {% endblock %} + diff --git a/wqflask/wqflask/templates/ctl_setup.html b/wqflask/wqflask/templates/ctl_setup.html index a05379a8..a7ad5759 100644 --- a/wqflask/wqflask/templates/ctl_setup.html +++ b/wqflask/wqflask/templates/ctl_setup.html @@ -11,7 +11,13 @@ Please make sure you select enough traits to perform CTL. Your collection needs to contain at least 2 different traits. You provided {{request.form['trait_list'].split(',')|length}} traits as input. </div> {% else %} - <h1>CTL analysis parameters</h1> + <h1>CTL analysis</h1> + CTL analysis is published as open source software, if you are using this method in your publications, please cite:<br><br> + Arends D, Li Y, Brockmann GA, Jansen RC, Williams RW, Prins P<br> + Correlation trait locus (CTL) mapping: Phenotype network inference subject to genotype.<br> + The Journal of Open Source Software (2016)<br> + Published in <a href="http://joss.theoj.org/papers/10.21105/joss.00087"><img src="http://joss.theoj.org/papers/10.21105/joss.00087/status.svg"></a> + <br><br> {{(request.form['trait_list'].split(',')|length)}} traits as input <form action="/ctl_results" method="post" class="form-horizontal"> diff --git a/wqflask/wqflask/templates/data_sharing.html b/wqflask/wqflask/templates/data_sharing.html index 4e92106a..366e2075 100644 --- a/wqflask/wqflask/templates/data_sharing.html +++ b/wqflask/wqflask/templates/data_sharing.html @@ -1,5 +1,5 @@ {% extends "base.html" %} -{% block title %}Search Results{% endblock %} +{% block title %}Data Sharing{% endblock %} {% block content %} <!-- Start of body --> diff --git a/wqflask/wqflask/templates/gsearch_gene.html b/wqflask/wqflask/templates/gsearch_gene.html index 8b8a9057..e8bb6337 100644 --- a/wqflask/wqflask/templates/gsearch_gene.html +++ b/wqflask/wqflask/templates/gsearch_gene.html @@ -9,7 +9,7 @@ <div class="container"> <p>You searched for {{ terms }}.</p> - <p>To study a record, click on its ID below.<br />Check records below and click Add button to add to selection.</p> + <p>To study a record, click on its Record ID below.<br />Check records below and click Add button to add to selection.</p> <div> <br /> @@ -27,36 +27,36 @@ <button class="btn btn-default" id="export_traits">Download CSV</button> </form> <br /> - <div style="width: 2000px; background-color: #eeeeee; border: 1px solid black;"> - <table width="2000px" id="trait_table" class="table table-hover table-striped" > + <div style="width: 2000px;"> + <table width="2000px" id="trait_table" class="table table-hover table-striped nowrap" style="float: left;"> <thead> <tr> - <th style="background-color: #eeeeee;"></th> - <th data-export="Index" style="background-color: #eeeeee;">Index</th> - <th data-export="Species" style="background-color: #eeeeee;">Species</th> - <th data-export="Group" style="background-color: #eeeeee;">Group</th> - <th data-export="Tissue" style="background-color: #eeeeee;">Tissue</th> - <th data-export="Dataset" style="background-color: #eeeeee;">Dataset</th> - <th data-export="Record" style="background-color: #eeeeee;">Record</th> - <th data-export="Symbol" style="background-color: #eeeeee;">Symbol</th> - <th data-export="Description" style="background-color: #eeeeee;">Description</th> - <th data-export="Location" style="background-color: #eeeeee;">Location</th> - <th data-export="Mean" style="background-color: #eeeeee;">Mean</th> - <th data-export="Max LRS" style="background-color: #eeeeee;">Max <br>LRS<a href="http://genenetwork.org/glossary.html#L" target="_blank"><sup style="color:#f00"> ?</sup></a></th> - <th data-export="Max LRS Location" style="background-color: #eeeeee;">Max LRS Location</th> - <th data-export="Additive Effect" style="background-color: #eeeeee;">Additive<br>Effect<a href="http://genenetwork.org/glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th></th> + <th data-export="Index">Index</th> + <th data-export="Record">Record ID</th> + <th data-export="Species">Species</th> + <th data-export="Group">Group</th> + <th data-export="Tissue">Tissue</th> + <th data-export="Dataset">Dataset</th> + <th data-export="Symbol">Symbol</th> + <th data-export="Description">Description</th> + <th data-export="Location">Location</th> + <th data-export="Mean">Mean</th> + <th data-export="Max LRS">Max LRS<a href="http://genenetwork.org/glossary.html#L" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th data-export="Max LRS Location">Max LRS Location</th> + <th data-export="Additive Effect">Additive <a href="http://genenetwork.org/glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> </tr> </thead> <tbody> {% for this_trait in trait_list %} <tr id="trait:{{ this_trait.name }}:{{ this_trait.dataset.name }}"> - <td><input type="checkbox" name="searchResult" class="checkbox trait_checkbox" style="transform: scale(1.5);" value="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"></td> - <td data-export="{{ loop.index }}">{{ loop.index }}</td> + <td align="center" style="padding-right: 0px; padding-left: 5px;"><input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"></td> + <td align="right" data-export="{{ loop.index }}">{{ loop.index }}</td> + <td data-export="{{ this_trait.name }}"><a href="{{ url_for('show_trait_page', trait_id = this_trait.name, dataset = this_trait.dataset.name)}}">{{ this_trait.name }}</a></td> <td data-export="{{ this_trait.dataset.group.species }}">{{ this_trait.dataset.group.species }}</td> <td data-export="{{ this_trait.dataset.group.name }}">{{ this_trait.dataset.group.name }}</td> <td data-export="{{ this_trait.dataset.tissue }}">{{ this_trait.dataset.tissue }}</td> <td data-export="{{ this_trait.dataset.name }}">{{ this_trait.dataset.name }}</td> - <td data-export="{{ this_trait.name }}"><a href="{{ url_for('show_trait_page', trait_id = this_trait.name, dataset = this_trait.dataset.name)}}">{{ this_trait.name }}</a></td> <td data-export="{{ this_trait.symbol }}">{{ this_trait.symbol }}</td> <td data-export="{{ this_trait.description_display }}">{{ this_trait.description_display }}</td> <td data-export="{{ this_trait.location_repr }}" align="right">{{ this_trait.location_repr }}</td> @@ -69,20 +69,20 @@ </tbody> <tfoot> <tr> - <th style="background-color: #eeeeee;"></th> - <th style="background-color: #eeeeee;">Index</th> - <th style="background-color: #eeeeee;">Species</th> - <th style="background-color: #eeeeee;">Group</th> - <th style="background-color: #eeeeee;">Tissue</th> - <th style="background-color: #eeeeee;">Dataset</th> - <th style="background-color: #eeeeee;">Record</th> - <th style="background-color: #eeeeee;">Symbol</th> - <th style="background-color: #eeeeee;">Description</th> - <th style="background-color: #eeeeee;">Location</th> - <th style="background-color: #eeeeee;">Mean</th> - <th style="background-color: #eeeeee;">Max <br>LRS<a href="http://genenetwork.org/glossary.html#L" target="_blank"><sup style="color:#f00"> ?</sup></a></th> - <th style="background-color: #eeeeee;">Max LRS Location</th> - <th style="background-color: #eeeeee;">Additive<br>Effect<a href="http://genenetwork.org/glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th></th> + <th>Index</th> + <th>Record ID</th> + <th>Species</th> + <th>Group</th> + <th>Tissue</th> + <th>Dataset</th> + <th>Symbol</th> + <th>Description</th> + <th>Location</th> + <th>Mean</th> + <th>Max LRS<a href="http://genenetwork.org/glossary.html#L" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th>Max LRS Location</th> + <th>Additive <a href="http://genenetwork.org/glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> </tr> </tfoot> </table> @@ -123,26 +123,34 @@ console.time("Creating table"); $('#trait_table').DataTable( { + "createdRow": function ( row, data, index ) { + $('td', row).eq(8).attr('title', $('td', row).eq(8).text()); + if ($('td', row).eq(8).text().length > 50) { + $('td', row).eq(8).text($('td', row).eq(8).text().substring(0, 50)); + $('td', row).eq(8).text($('td', row).eq(8).text() + '...') + } + }, "paging": false, "columns": [ { "orderDataType": "dom-checkbox" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "8%" }, - { "type": "natural" }, + { "type": "natural", "width": "3%" }, + { "type": "natural", "width": "6%" }, + { "type": "natural", "width": "8%" }, { "type": "natural" }, { "type": "natural" }, { "type": "natural" }, { "type": "natural" }, - { "type": "natural", "width": "8%" }, { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "8%" }, - { "type": "natural" } + { "type": "natural", "width": "7%" }, + { "type": "natural", "width": "4%" }, + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "7%" }, + { "type": "natural", "width": "5%" } ], "columnDefs": [ { "targets": 0, + "orderable": false, "orderDataType": "dom-checkbox" } ], diff --git a/wqflask/wqflask/templates/links.html b/wqflask/wqflask/templates/links.html index 80d752e6..6ff7fc6c 100644 --- a/wqflask/wqflask/templates/links.html +++ b/wqflask/wqflask/templates/links.html @@ -1,5 +1,5 @@ {% extends "base.html" %} -{% block title %}Forgot Password{% endblock %} +{% block title %}Links{% endblock %} {% block content %} <Table width= "100%" cellSpacing=0 cellPadding=5><TR> diff --git a/wqflask/wqflask/templates/loading.html b/wqflask/wqflask/templates/loading.html new file mode 100644 index 00000000..cede0e86 --- /dev/null +++ b/wqflask/wqflask/templates/loading.html @@ -0,0 +1,26 @@ +<title>Loading Mapping Results</title> +<link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/bootstrap.css" /> +<link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/non-responsive.css" /> +<link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/docs.css" /> +<link rel="stylesheet" type="text/css" href="/static/packages/colorbox/example4/colorbox.css" /> +<link rel="stylesheet" type="text/css" href="/static/new/css/main.css" /> +<form method="post" action="/marker_regression" name="loading_form" id="loading_form" class="form-horizontal"> + {% for key, value in start_vars.iteritems() %} + <input type="hidden" name="{{ key }}" value="{{ value }}"> + {% endfor %} + <div class="container"> + <div class="row"> + <div style="margin-left: 46%; margin-right: 50%; min-height: 100vh; display: flex; align-items: center;"> + <h1>Loading Mapping Results...</h1> + </div> + <div class="progress center-block" style="margin-left: 25%; margin-right: 25%; position: absolute; height:50px; width:50%; top:50%;"> + <div class="progress-bar progress-bar-striped active" role="progressbar" aria-valuenow="100" aria-valuemin="0" aria-valuemax="100" style="width:100%;"></div> + </div> + </div> + </div> +</form> +<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script> +<script src="/static/packages/bootstrap/js/bootstrap.min.js"></script> +<script type="text/javascript"> +$("#loading_form").submit(); +</script>
\ No newline at end of file diff --git a/wqflask/wqflask/templates/marker_regression_gn1.html b/wqflask/wqflask/templates/marker_regression_gn1.html index 843c7ed9..31b8c595 100644 --- a/wqflask/wqflask/templates/marker_regression_gn1.html +++ b/wqflask/wqflask/templates/marker_regression_gn1.html @@ -14,6 +14,9 @@ <input type="hidden" name="temp_uuid" value="{{ temp_uuid }}"> <input type="hidden" name="trait_id" value="{{ this_trait.name }}"> <input type="hidden" name="dataset" value="{{ dataset.name }}"> + {% if mapping_method == "reaper" %} + <input type="hidden" name="genofile" value="{{ dataset.group.genofile }}"> + {% endif %} <input type="hidden" name="method" value="{{ mapping_method }}"> {% for sample in samples %} <input type="hidden" name="value:{{ sample }}" value="{{ vals[loop.index - 1] }}"> @@ -68,7 +71,7 @@ <input type="radio" name="LRSCheck" value="LRS" {% if LRS_LOD == "LRS" %}checked{% endif %}>LRS </label> <label class="radio-inline"> - <input type="radio" name="LRSCheck" value="LOD" {% if LRS_LOD == "LOD" %}checked{% endif %}>LOD + <input type="radio" name="LRSCheck" value="{% if LRS_LOD == "-log(p)" %}-log(p){% else %}LOD{% endif %}" {% if LRS_LOD == "LOD" or LRS_LOD == "-log(p)" %}checked{% endif %}>{% if LRS_LOD == "-log(p)" %}-log(p){% else %}LOD{% endif %} </label> <a href="http://genenetwork.org/glossary.html#LOD" target="_blank"> <sup style="color:#f00"> ?</sup> @@ -118,7 +121,7 @@ <span style="color:red;">*</span> <br> <input type="checkbox" name="showGenes" class="checkbox" style="display: inline; margin-top: 0px;" {% if geneChecked|upper == "ON" %}value="ON" checked{% endif %}> <span style="font-size: 12px;">Gene Track </span> <span style="color:red;">*</span><br> - {% if plotScale != "morgan" %} + {% if plotScale != "morgan" and mapping_method != "gemma" %} <input type="checkbox" name="haplotypeAnalystCheck" class="checkbox" style="display: inline; margin-top: 0px;" {% if haplotypeAnalystChecked|upper == "ON" %}value="ON" checked{% endif %}> <span style="font-size: 12px;">Haplotype Analyst </span> <span style="color:red;">*</span><br> {% endif %} <input type="checkbox" name="viewLegend" class="checkbox" style="display: inline; margin-top: 0px;" {% if legendChecked|upper == "ON" %}value="ON" checked{% endif %}> <span style="font-size: 12px;">Legend </span> @@ -185,10 +188,10 @@ </form> {% if selectedChr == -1 %} - <div style="width:{% if 'additive' in trimmed_markers[0] %}50%{% else %}35%{% endif %};"> + <div style="width:{% if 'additive' in trimmed_markers[0] %}40%{% else %}30%{% endif %};"> <h2>Results</h2> - <div id="table_container" style="background-color: #eeeeee; border: 1px solid black;"> - <table id="qtl_results" class="table table-hover table-striped"> + <div id="table_container"> + <table id="qtl_results" class="table table-hover table-striped nowrap"> <thead> <tr> <th></th> @@ -204,7 +207,7 @@ {% if 'additive' in trimmed_markers[0] %} <th>Add Eff</th> {% endif %} - {% if 'dominance' in trimmed_markers[0] %} + {% if 'dominance' in trimmed_markers[0] and dataset.group.genetic_type != "riset" %} <th>Dom Eff</th> {% endif %} </tr> @@ -212,33 +215,33 @@ <tbody> {% for marker in trimmed_markers %} <tr> - <td> + <td align="center" style="padding-right: 0px;"> <input type="checkbox" name="selectCheck" class="checkbox edit_sample_checkbox" value="{{ marker.name }}" checked="checked"> </td> <td align="right">{{ loop.index }}</td> <td>{{ marker.name }}</td> - {% if LRS_LOD == "LOD" %} + {% if LRS_LOD == "LOD" or LRS_LOD == "-log(p)" %} {% if 'lod_score' in marker %} - <td>{{ '%0.2f' | format(marker.lod_score|float) }}</td> + <td align="right">{{ '%0.2f' | format(marker.lod_score|float) }}</td> {% else %} - <td>{{ '%0.2f' | format(marker.lrs_value|float / 4.16) }}</td> + <td align="right">{{ '%0.2f' | format(marker.lrs_value|float / 4.16) }}</td> {% endif %} {% else %} {% if 'lod_score' in marker %} - <td>{{ '%0.2f' | format(marker.lod_score|float * 4.16) }}</td> + <td align="right">{{ '%0.2f' | format(marker.lod_score|float * 4.16) }}</td> {% else %} - <td>{{ '%0.2f' | format(marker.lrs_value|float) }}</td> + <td align="right">{{ '%0.2f' | format(marker.lrs_value|float) }}</td> {% endif %} {% endif %} - <td>{{marker.chr}}</td> - <td>{{ '%0.6f' | format(marker.Mb|float) }}</td> + <td align="right">{{marker.chr}}</td> + <td align="right">{{ '%0.6f' | format(marker.Mb|float) }}</td> {% if 'additive' in marker %} - <td>{{ '%0.3f' | format(marker.additive|float) }}</td> + <td align="right">{{ '%0.3f' | format(marker.additive|float) }}</td> {% endif %} - {% if 'dominance' in marker %} - <td>{{ '%0.2f' | format(marker.dominance|float) }}</td> + {% if 'dominance' in marker and dataset.group.genetic_type != "riset" %} + <td align="right">{{ '%0.2f' | format(marker.dominance|float) }}</td> {% endif %} </tr> {% endfor %} @@ -249,8 +252,8 @@ {% else %} <div> <h2>Interval Analyst</h2> - <div id="table_container" style="background-color: #eeeeee; border: 1px solid black;"> - <table id="interval_analyst" class="table table-hover table-striped"> + <div id="table_container"> + <table id="interval_analyst" class="table table-hover table-striped nowrap"> <thead> <tr> {% for header in gene_table_header %} @@ -316,12 +319,8 @@ <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min.js"></script> <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/dataTables.buttons.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/buttons.html5.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/buttons.bootstrap.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.scientific.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colResize.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> {% if mapping_method != "gemma" %} @@ -338,34 +337,50 @@ createTable = function() { console.time("Creating table"); $('#qtl_results').DataTable( { + {% if mapping_method != "reaper" %} "columns": [ - { "type": "natural", "width": "5%", "bSortable": false }, - { "type": "natural", "width": "6%" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" } - ], - "order": [[1, "asc" ]], - "buttons": [ - { - extend: 'csvHtml5', - text: 'Download CSV', - title: 'search_results', - fieldBoundary: '"', - exportOptions: { - columns: [1, 2, 3, 4, 5, 6, 7, 8] - } - } + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "20%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "15%" } + ], + {% elif dataset.group.genetic_type == "riset" %} + "columns": [ + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "20%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "15%" }, + { "type": "natural", "width": "8%" } + ], + {% else %} + "columns": [ + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "20%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "15%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "8%" } ], - "sDom": "RZBtir", + {% endif %} + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "RZtir", "iDisplayLength": -1, - "bDeferRender": true, + "autoWidth": false, + "deferRender": true, "bSortClasses": false, - "scrollY": true, + "scrollY": "600px", "scrollCollapse": false, + "scroller": true, "paging": false } ); @@ -375,18 +390,7 @@ "sortable": false }], "order": [[3, "asc" ]], - "buttons": [ - { - extend: 'csvHtml5', - text: 'Download CSV', - title: 'search_results', - fieldBoundary: '"', - exportOptions: { - columns: [1, 2, 3, 4, 5, 6, 7, 8, 9] - } - } - ], - "sDom": "RZBtir", + "sDom": "RZtir", "iDisplayLength": -1, "bDeferRender": true, "bSortClasses": false, diff --git a/wqflask/wqflask/templates/policies.html b/wqflask/wqflask/templates/policies.html index aa5c453d..83b6b3c0 100644 --- a/wqflask/wqflask/templates/policies.html +++ b/wqflask/wqflask/templates/policies.html @@ -1,5 +1,5 @@ {% extends "base.html" %} -{% block title %}GeneNetwork{% endblock %} +{% block title %}Policies{% endblock %} {% block content %} <Table width= "100%" cellSpacing=0 cellPadding=5><TR> diff --git a/wqflask/wqflask/templates/reference.html b/wqflask/wqflask/templates/reference.html index 4ad97522..cc4408e1 100644 --- a/wqflask/wqflask/templates/reference.html +++ b/wqflask/wqflask/templates/reference.html @@ -1,5 +1,5 @@ {% extends "base.html" %} -{% block title %}GeneNetwork{% endblock %} +{% block title %}References{% endblock %} {% block content %} <TABLE cellSpacing=5 cellPadding=4 width="100%" border=0> diff --git a/wqflask/wqflask/templates/search_result_page.html b/wqflask/wqflask/templates/search_result_page.html index 0f5e68d7..718b31d3 100644 --- a/wqflask/wqflask/templates/search_result_page.html +++ b/wqflask/wqflask/templates/search_result_page.html @@ -2,16 +2,15 @@ {% block title %}Search Results{% endblock %} {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> - <link rel="stylesheet" type="text/css" href="//cdn.datatables.net/scroller/1.4.1/css/scroller.dataTables.min.css"> - <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/dataTables.fixedHeader.css" > - <link rel="stylesheet" type="text/css" href="//cdn.datatables.net/fixedcolumns/3.0.4/css/dataTables.fixedColumns.css"> + <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/scroller.dataTables.min.css"> + <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.dataTables.css"> {% endblock %} {% block content %} <!-- Start of body --> {{ header("Search Results", 'GeneNetwork found {}.'.format(numify(results|count, "record", "records"))) }} - <div class="container"> + <div style="padding-left: 10px;"> <input type="hidden" name="uc_id" id="uc_id" value="{{ uc_id }}"> <!-- Need to customize text more for other types of searches --> @@ -44,7 +43,7 @@ {% endfor %} </p> - <p>To study a record, click on its ID below. Check records below and click Add button to add to selection.</p> + <p>To study a record click on its ID below, and to view the whole description {% if dataset.type == "Publish" %}or list of authors {% endif %} hover over the table cell. Check records below and click Add button to add to selection.</p> <div> <br /> @@ -78,73 +77,33 @@ {% endif %} --> - <div id="table_container" style="background-color: #eeeeee; border: 1px solid black;"> - <table class="table table-hover table-striped" id='trait_table' {% if dataset.type == 'Geno' %}width="400px"{% endif %} style="float: left;"> + <div id="table_container" style="width: {% if dataset.type == 'ProbeSet' %}1300{% elif dataset.type == 'Publish' %}1200{% elif dataset.type == 'Geno' %}500{% endif %}px;"> + <table class="table table-hover table-striped nowrap" id='trait_table' style="float: left;"> <thead> <tr> - <th style="background-color: #eeeeee;"></th> + <th></th> {% for header in header_fields %} {% if header == 'Max LRS' %} - <th data-export="Max LRS" style="background-color: #eeeeee; text-align: right;">Max<br>LRS</th> + <th data-export="Max LRS">Max LRS</th> {% elif header == 'Additive Effect' %} - <th data-export="Additive Effect" style="background-color: #eeeeee; text-align: right;">Additive<br>Effect<a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th data-export="Additive Effect">Additive <a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> {% else %} - <th data-export="{{header}}" style="background-color: #eeeeee;">{{header}}</th> + <th data-export="{{header}}">{{header}}</th> {% endif %} {% endfor %} </tr> </thead> - - <tbody> - {% for this_trait in trait_list %} - <TR id="trait:{{ this_trait.name }}:{{ this_trait.dataset.name }}"> - <TD><INPUT TYPE="checkbox" NAME="searchResult" class="checkbox trait_checkbox" style="transform: scale(1.5);" VALUE="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"> - </TD> - <TD data-export="{{ loop.index }}" align="right">{{ loop.index }}</TD> - <TD data-export="{{ this_trait.name }}"> - <a href="{{ url_for('show_trait_page', - trait_id = this_trait.name, - dataset = dataset.name - )}}"> - {{ this_trait.name }} - </a> - </TD> - {% if dataset.type == 'ProbeSet' %} - <TD data-export="{{ this_trait.symbol }}">{{ this_trait.symbol }}</TD> - <TD data-export="{{ this_trait.description_display }}">{{ this_trait.description_display }}</TD> - <TD data-export="{{ this_trait.location_repr }}">{{ this_trait.location_repr }}</TD> - <TD data-export="{{ '%0.3f' % this_trait.mean|float }}" align="right">{{ '%0.3f' % this_trait.mean|float }}</TD> - <TD data-export="{{ '%0.3f' % this_trait.LRS_score_repr|float }}" align="right">{{ '%0.3f' % this_trait.LRS_score_repr|float }}</TD> - <TD data-export="{{ this_trait.LRS_location_repr }}">{{ this_trait.LRS_location_repr }}</TD> - <TD data-export="{{ '%0.3f' % this_trait.additive|float }}" align="right">{{ '%0.3f' % this_trait.additive|float }}</TD> - {% elif dataset.type == 'Publish' %} - <TD data-export="{{ this_trait.description_display }}">{{ this_trait.description_display }}</TD> - <TD data-export="{{ this_trait.authors }}">{{ this_trait.authors }}</TD> - <TD data-export="{{ this_trait.pubmed_text }}" data-sort="{{ this_trait.pubmed_text }}"> - <a href="{{ this_trait.pubmed_link }}"> - {{ this_trait.pubmed_text }} - </a> - </TD> - <TD data-export="{{ '%0.3f' % this_trait.LRS_score_repr|float }}">{{ '%0.3f' % this_trait.LRS_score_repr|float }}</TD> - <TD data-export="{{ this_trait.LRS_location_repr }}">{{ this_trait.LRS_location_repr }}</TD> - <TD data-export="{{ '%0.3f' % this_trait.additive|float }}">{{ '%0.3f' % this_trait.additive|float }}</TD> - {% elif dataset.type == 'Geno' %} - <TD data-export="{{ this_trait.location_repr }}">{{ this_trait.location_repr }}</TD> - {% endif %} - </TR> - {% endfor %} - </tbody> {% if trait_list|length > 20 %} <tfoot> <tr> - <th style="width: 30px;"></th> + <th></th> {% for header in header_fields %} {% if header == 'Max LRS' %} - <th style="text-align: right;">Max<br>LRS</th> + <th data-export="Max LRS">Max LRS</th> {% elif header == 'Additive Effect' %} - <th style="text-align: right;">Additive<br>Effect<a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> + <th data-export="Additive Effect">Additive Effect<a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup style="color:#f00"> ?</sup></a></th> {% else %} - <th>{{header}}</th> + <th data-export="{{header}}">{{header}}</th> {% endif %} {% endfor %} </tr> @@ -162,15 +121,18 @@ {% endblock %} {% block js %} - <script type="text/javascript" src="/static/new/javascript/search_results.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colResize.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.fixedHeader.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.buttons.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/buttons.colVis.min.js"></script> + <script type='text/javascript'> + var json_trait_list = {{ json_trait_list|safe }}; + </script> + <script type="text/javascript" charset="utf-8"> $(document).ready( function () { @@ -180,71 +142,219 @@ } }); + function change_buttons() { + buttons = ["#add", "#remove"]; + num_checked = $('.trait_checkbox:checked').length; + if (num_checked === 0) { + for (_i = 0, _len = buttons.length; _i < _len; _i++) { + button = buttons[_i]; + $(button).prop("disabled", true); + } + } else { + for (_j = 0, _len2 = buttons.length; _j < _len2; _j++) { + button = buttons[_j]; + $(button).prop("disabled", false); + } + } + //}); + if ($(this).is(":checked")) { + if (!$(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').addClass('selected') + } + } + else { + if ($(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').removeClass('selected') + } + } + } + console.time("Creating table"); {% if dataset.type == 'ProbeSet' %} //ZS: Need to make sort by symbol, also need to make sure blank symbol fields at the bottom and symbols starting with numbers below letters $('#trait_table').DataTable( { + "drawCallback": function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox') { + $(':checkbox', this).trigger('click'); + } + }); + $('.trait_checkbox:checkbox').on("change", change_buttons); + }, + "createdRow": function ( row, data, index ) { + $('td', row).eq(0).attr('style', 'padding-right: 0px;'); + $('td', row).eq(0).attr('align', 'center'); + $('td', row).eq(1).attr('align', 'right'); + $('td', row).eq(1).attr('data-export', index+1); + $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + $('td', row).eq(3).attr('title', $('td', row).eq(3).text()); + $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + $('td', row).eq(4).attr('title', $('td', row).eq(4).text()); + $('td', row).eq(4).attr('data-export', $('td', row).eq(4).text()); + if ($('td', row).eq(4).text().length > 60) { + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 60)); + $('td', row).eq(4).text($('td', row).eq(4).text() + '...') + } + $('td', row).eq(5).attr('data-export', $('td', row).eq(5).text()); + $('td', row).eq(6).attr('align', 'right'); + $('td', row).eq(6).attr('data-export', $('td', row).eq(6).text()); + $('td', row).eq(7).attr('align', 'right'); + $('td', row).eq(7).attr('data-export', $('td', row).eq(7).text()); + $('td', row).eq(8).attr('data-export', $('td', row).eq(8).text()); + $('td', row).eq(9).attr('align', 'right'); + $('td', row).eq(9).attr('data-export', $('td', row).eq(9).text()); + }, + "data": json_trait_list, "columns": [ - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "40%" }, - { "type": "natural", "width": "15%" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "15%" }, - { "type": "natural" } + { "type": "natural", "width": "2%" }, + { "type": "natural", "width": "4%" }, + { "type": "natural", "width": "12%" }, + { "type": "natural", "width": "12%" }, + { "type": "natural", "width": "25%" }, + { "type": "natural", "width": "11%" }, + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "6%" }, + { "type": "natural", "width": "11%" }, + { "type": "natural", "width": "6%" } ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], "order": [[1, "asc" ]], - "sDom": "RZtir", + buttons: [ + { + extend: 'colvis', + text: 'Show or Hide Columns', + columns: ':not(:first-child)', + postfixButtons: [ 'colvisRestore' ] + } + ], + "sDom": "BRZtir", "iDisplayLength": -1, - "bDeferRender": true, + "autoWidth": false, + "deferRender": true, "bSortClasses": false, - "scrollY": true, + "scrollY": "600px", "scrollCollapse": false, + "scroller": true, "paging": false } ); {% elif dataset.type == 'Publish' %} $('#trait_table').DataTable( { + "drawCallback": function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox') { + $(':checkbox', this).trigger('click'); + } + }); + $('.trait_checkbox:checkbox').on("change", change_buttons); + }, + "createdRow": function ( row, data, index ) { + $('td', row).eq(1).attr('align', 'right'); + $('td', row).eq(1).attr('data-export', index+1); + $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + $('td', row).eq(3).attr('title', $('td', row).eq(3).text()); + $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + if ($('td', row).eq(3).text().length > 50) { + $('td', row).eq(3).text($('td', row).eq(3).text().substring(0, 50)); + $('td', row).eq(3).text($('td', row).eq(3).text() + '...') + } + $('td', row).eq(4).attr('title', $('td', row).eq(4).text()); + $('td', row).eq(4).attr('data-export', $('td', row).eq(4).text()); + if ($('td', row).eq(4).text().length > 50) { + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 50)); + $('td', row).eq(4).text($('td', row).eq(4).text() + '...') + } + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 30)); + //$('td', row).eq(5).attr('align', 'right'); + $('td', row).eq(5).attr('data-export', $('td', row).eq(5).text()); + $('td', row).eq(6).attr('align', 'right'); + $('td', row).eq(6).attr('data-export', $('td', row).eq(6).text()); + $('td', row).eq(7).attr('data-export', $('td', row).eq(7).text()); + $('td', row).eq(8).attr('align', 'right'); + $('td', row).eq(8).attr('data-export', $('td', row).eq(8).text()); + }, + "data": json_trait_list, "columns": [ - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "15%"}, - { "type": "natural" } + { "type": "natural", "width": "2%" }, + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "6%" }, + { "type": "natural", "width": "30%" }, + { "type": "natural", "width": "25%" }, + { "type": "natural", "width": "5%" }, + { "type": "natural", "width": "6%" }, + { "type": "natural", "width": "10%" }, + { "type": "natural", "width": "9%" } ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], "order": [[1, "asc" ]], - "sDom": "RZtir", + buttons: [ + { + extend: 'colvis', + text: 'Show or Hide Columns', + columns: ':not(:first-child)', + postfixButtons: [ 'colvisRestore' ] + } + ], + "sDom": "BRZtir", "iDisplayLength": -1, "autoWidth": false, - "bDeferRender": true, + "deferRender": true, "bSortClasses": false, - "scrollY": "700px", - "scrollCollapse": false, + "scrollY": "600px", + "scrollCollapse": true, + "scroller": true, "paging": false } ); {% elif dataset.type == 'Geno' %} $('#trait_table').DataTable( { + "drawCallback": function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox') { + $(':checkbox', this).trigger('click'); + } + }); + $('.trait_checkbox:checkbox').on("change", change_buttons); + }, + "createdRow": function ( row, data, index ) { + $('td', row).eq(1).attr('align', 'right'); + $('td', row).eq(1).attr('data-export', index+1); + $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + }, + "data": json_trait_list, "columns": [ - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "12%" }, + { "type": "natural", "width": "40%" }, { "type": "natural", "width": "40%"} ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], "order": [[1, "asc" ]], - "sDom": "RZtir", + buttons: [ + { + extend: 'colvis', + text: 'Show or Hide Columns', + columns: ':not(:first-child)', + postfixButtons: [ 'colvisRestore' ] + } + ], + "sDom": "BRZtir", "iDisplayLength": -1, - "autoWidth": true, - "bDeferRender": true, + "autoWidth": false, + "deferRender": true, "bSortClasses": false, - "scrollY": "700px", - "scrollCollapse": false, + "scrollY": "600px", + "scrollCollapse": true, + "scroller": true, "paging": false } ); {% endif %} diff --git a/wqflask/wqflask/templates/show_trait.html b/wqflask/wqflask/templates/show_trait.html index 59e0185e..772c4314 100644 --- a/wqflask/wqflask/templates/show_trait.html +++ b/wqflask/wqflask/templates/show_trait.html @@ -39,6 +39,7 @@ </div> <input type="hidden" name="temp_uuid" id="temp_uuid" value="{{ temp_uuid }}"> + <input type="hidden" name="genofile" value=""> <div class="container"> <div class="panel-group" id="accordion"> @@ -212,7 +213,12 @@ {% for attribute in sample_groups[0].attributes %} { "type": "natural" }{% if loop.index < sample_groups[0].attributes|length %},{% endif %} {% endfor %} - ], + ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], "sDom": "RZtr", "iDisplayLength": -1, "autoWidth": false, @@ -231,14 +237,19 @@ $('#samples_primary, #samples_other').DataTable( { "columns": [ - { "bSortable": false }, - { "type": "natural" }, - null, - { "type": "cust-txt" }{% if sample_groups[0].attributes|length > 0 %},{% endif %} + { "bSortable": false, "width": "8%" }, + { "type": "natural", "width": "15%" }, + { "type": "natural", "width": "25%" }, + { "type": "cust-txt", "width": "25%" }{% if sample_groups[0].attributes|length > 0 %},{% endif %} {% for attribute in sample_groups[0].attributes %} { "type": "natural" }{% if loop.index < sample_groups[0].attributes|length %},{% endif %} {% endfor %} ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], "sDom": "RZtr", "iDisplayLength": -1, "autoWidth": false, diff --git a/wqflask/wqflask/templates/show_trait_details.html b/wqflask/wqflask/templates/show_trait_details.html index 017a88ae..547c3c27 100644 --- a/wqflask/wqflask/templates/show_trait_details.html +++ b/wqflask/wqflask/templates/show_trait_details.html @@ -1,17 +1,19 @@ <table class="table"> <tr> - <td>Species</td> - <td>{{ this_trait.dataset.group.species }}</td> - </tr> - <tr> - <td>Group</td> - <td>{{ this_trait.dataset.group.name }}</td> + <td>Species and Group</td> + <td>{{ this_trait.dataset.group.species }}, {{ this_trait.dataset.group.name }}</td> </tr> <tr> <td>Tissue</td> <td>{{ this_trait.dataset.tissue }}</td> </tr> {% if this_trait.dataset.type == 'ProbeSet' %} + {% if this_trait.symbol != None %} + <tr> + <td>Gene Symbol</td> + <td>{{ this_trait.symbol }}</td> + </tr> + {% endif %} <tr> <td>Aliases</td> <td>{{ this_trait.alias_fmt|replace(",",";") }}</td> @@ -74,49 +76,35 @@ <div style="margin-bottom:15px;" class="btn-toolbar"> <div class="btn-group"> <a href="#redirect"> - <button type="button" id="add_to_collection" class="btn btn-primary" title="Add to collection"> - <i class="icon-plus-sign icon-white"></i> Add - </button> + <button type="button" id="add_to_collection" class="btn btn-primary" title="Add to collection">Add</button> </a> {% if this_trait.dataset.type == 'ProbeSet' %} {% if this_trait.symbol != None %} - <a href="http://www.genenetwork.org/webqtl/main.py?cmd=sch&gene={{ this_trait.symbol }}&alias=1&species={{ species_name }}"> - <button type="button" class="btn btn-default" title="Find similar expression data"> - <i class="icon-search"></i> Find - </button> + <a href="http://www.genenetwork.org/webqtl/main.py?cmd=sch&gene={{ this_trait.symbol }}&alias=1&species={{ dataset.group.species }}"> + <button type="button" class="btn btn-default" title="Find similar expression data">Find</button> </a> {% endif %} {% if UCSC_BLAT_URL != "" %} <a href="{{ UCSC_BLAT_URL }}"> - <button type="button" class="btn btn-default" title="Check probe locations at UCSC"> - <i class="icon-ok"></i> Verify - </button> + <button type="button" class="btn btn-default" title="Check probe locations at UCSC">Verify</button> </a> {% endif %} {% if this_trait.symbol != None %} <a href="http://genenetwork.org/webqtl/main.py?FormID=geneWiki&symbol={{ this_trait.symbol }}"> - <button type="button" class="btn btn-default" title="Write or review comments about this gene"> - <i class="icon-edit"></i> GeneWiki - </button> + <button type="button" class="btn btn-default" title="Write or review comments about this gene">GeneWiki</button> </a> <a href="http://genenetwork.org/webqtl/main.py?FormID=SnpBrowserResultPage&submitStatus=1&diffAlleles=True&customStrain=True&geneName={{ this_trait.symbol }}"> - <button type="button" class="btn btn-default" title="View SNPs and Indels"> - <i class="icon-road"></i> SNPs - </button> + <button type="button" class="btn btn-default" title="View SNPs and Indels">SNPs</button> </a> {% endif %} {% if UTHSC_BLAT_URL != "" %} <a href="{{ UTHSC_BLAT_URL }}"> - <button type="button" class="btn btn-default" title="View probes, SNPs, and RNA-seq at UTHSC"> - <i class="icon-eye-close"></i> RNA-seq - </button> + <button type="button" class="btn btn-default" title="View probes, SNPs, and RNA-seq at UTHSC">RNA-seq</button> </a> {% endif %} {% if show_probes == "True" %} <a href="http://genenetwork.org/webqtl/main.py?FormID=showProbeInfo&database={{ this_trait.dataset.name }}&ProbeSetID={{ this_trait.name }}&CellID={{ this_trait.cellid }}&RISet={{ dataset.group.name }}&incparentsf1=ON"> - <button type="button" class="btn btn-default" title="Check sequence of probes"> - <i class="icon-list"></i> Probes - </button> + <button type="button" class="btn btn-default" title="Check sequence of probes">Probes</button> </a> {% endif %} {% endif %} diff --git a/wqflask/wqflask/templates/show_trait_edit_data.html b/wqflask/wqflask/templates/show_trait_edit_data.html index ff5f0c87..a431821e 100644 --- a/wqflask/wqflask/templates/show_trait_edit_data.html +++ b/wqflask/wqflask/templates/show_trait_edit_data.html @@ -77,20 +77,21 @@ {% for sample_type in sample_groups %} <div class="sample_group" style="width:{{ trait_table_width }}%;"> <h3>{{ sample_type.header }}</h3> - <div id="table_container" style="background-color: #eeeeee; border: 1px solid black;"> + <hr> + <div id="table_container"> <table class="table-hover table-striped" id="samples_{{ sample_type.sample_group_type }}" style="float: left;"> <thead> <tr> - <th style="background-color: #eeeeee;"></th> - <th style="background-color: #eeeeee;">Index</th> - <th style="background-color: #eeeeee;">Sample</th> - <th style="background-color: #eeeeee;">Value</th> + <th></th> + <th>Index</th> + <th>Sample</th> + <th>Value</th> {% if sample_type.se_exists() %} - <th style="background-color: #eeeeee;"> </th> - <th style="background-color: #eeeeee;">SE</th> + <th> </th> + <th>SE</th> {% endif %} {% for attribute in sample_type.attributes|sort() %} - <th style="background-color: #eeeeee;"> + <th> {{ sample_type.attributes[attribute].name }} </th> {% endfor %} @@ -99,7 +100,7 @@ <tbody> {% for sample in sample_type.sample_list %} <tr class="{{ sample.class_outlier }} value_se" id="{{ sample.this_id }}"> - <td class="column_name-"><input type="checkbox" name="selectCheck" class="checkbox edit_sample_checkbox" style="transform: scale(1.5);" value="{{ sample.name }}" checked="checked"> + <td align="center" style="padding-right: 0px;" class="column_name-"><input type="checkbox" name="selectCheck" class="checkbox edit_sample_checkbox" value="{{ sample.name }}" checked="checked"> </td> <td class="column_name-Index" align="right">{{ loop.index }}</td> <td class="column_name-Sample"> @@ -109,12 +110,12 @@ </td> {# Todo: Add IDs #} - <td class="column_name-Value"> + <td class="column_name-Value" align="right"> <input type="text" data-value="{{ sample.display_value }}" name="{{ 'value:' + sample.name }}" style="text-align:right;" class="trait_value_input edit_sample_value" value="{{ sample.display_value }}" - size=8 maxlength=8 + size=6 maxlength=6 > </td> @@ -146,6 +147,7 @@ </table> </div> </div> + <br> {% endfor %} <!--</div>--> diff --git a/wqflask/wqflask/templates/show_trait_mapping_tools.html b/wqflask/wqflask/templates/show_trait_mapping_tools.html index 0f293942..12ba80b9 100644 --- a/wqflask/wqflask/templates/show_trait_mapping_tools.html +++ b/wqflask/wqflask/templates/show_trait_mapping_tools.html @@ -4,7 +4,8 @@ <div class="tabbable"> <!-- Only required for left/right tabs --> <ul class="nav nav-pills"> - {% if use_pylmm_rqtl and not use_plink_gemma and dataset.group.species != "human" %} + {# if use_pylmm_rqtl and not use_plink_gemma and dataset.group.species != "human" #} + {% if dataset.group.mapping_id == "1" %} <li class="active"> <a href="#interval_mapping" data-toggle="tab">Interval Mapping</a> </li> @@ -15,23 +16,39 @@ <a href="#rqtl_geno" data-toggle="tab">R/qtl</a> </li> {% endif %} - {% if use_plink_gemma %} - <li> - <a href="#plink" data-toggle="tab">PLINK</a> + {# if use_plink_gemma #} + {% if dataset.group.mapping_id == "2" or dataset.group.mapping_id == "4" %} + <li class="active"> + <a href="#gemma" data-toggle="tab">GEMMA</a> </li> + {% if dataset.group.mapping_id == "4" %} <li> - <a href="#gemma" data-toggle="tab">GEMMA</a> + <a href="#plink" data-toggle="tab">PLINK</a> </li> {% endif %} + {% endif %} <!--<li> <a href="#pair_scan" data-toggle="tab">Pair Scan</a> </li>--> </ul> <div class="tab-content"> - {% if use_pylmm_rqtl and not use_plink_gemma and dataset.group.species != "human" %} + {# if use_pylmm_rqtl and not use_plink_gemma and dataset.group.species != "human" #} + {% if dataset.group.mapping_id == "1" %} <div class="tab-pane active" id="interval_mapping"> <div style="margin-top: 20px" class="form-horizontal"> + {% if genofiles and genofiles|length>0 %} + <div class="mapping_method_fields form-group"> + <label for="genofiles" class="col-xs-3 control-label">Genotypes</label> + <div style="margin-left: 20px;" class="col-xs-8 controls"> + <select id="genofile_reaper" class="form-control"> + {% for item in genofiles %} + <option value="{{item['location']}}">{{item['title']}}</option> + {% endfor %} + </select> + </div> + </div> + {% endif %} <div class="mapping_method_fields form-group"> <label for="mapping_permutations" class="col-xs-3 control-label">Permutations</label> <div style="margin-left: 20px;" class="col-xs-4 controls"> @@ -114,6 +131,18 @@ </div> <div class="tab-pane" id="pylmm"> <div style="margin-top: 20px" class="form-horizontal"> + {% if genofiles and genofiles|length>0 %} + <div class="mapping_method_fields form-group"> + <label for="genofiles" class="col-xs-3 control-label">Genotypes</label> + <div style="margin-left: 20px;" class="col-xs-8 controls"> + <select id="genofile_pylmm" class="form-control"> + {% for item in genofiles %} + <option value="{{item['location']}}">{{item['title']}}</option> + {% endfor %} + </select> + </div> + </div> + {% endif %} <div class="mapping_method_fields form-group"> <label for="mapping_permutations" class="col-xs-3 control-label">Permutations</label> <div style="margin-left: 20px;" class="col-xs-4 controls"> @@ -169,6 +198,18 @@ <div class="tab-pane" id="rqtl_geno"> <div style="margin-top: 20px" class="form-horizontal"> + {% if genofiles and genofiles|length>0 %} + <div class="mapping_method_fields form-group"> + <label for="genofiles" class="col-xs-3 control-label">Genotypes</label> + <div style="margin-left: 20px;" class="col-xs-8 controls"> + <select id="genofile_rqtl_geno" class="form-control"> + {% for item in genofiles %} + <option value="{{item['location']}}">{{item['title']}}</option> + {% endfor %} + </select> + </div> + </div> + {% endif %} <div class="mapping_method_fields form-group"> <label for="mapping_permutations" class="col-xs-3 control-label">Permutations</label> <div style="margin-left: 20px;" class="col-xs-4 controls"> @@ -262,47 +303,49 @@ </div> </div> {% endif %} - {% if use_plink_gemma %} - <div class="tab-pane" id="plink"> + {# if use_plink_gemma #} + {% if dataset.group.mapping_id == "2" or dataset.group.mapping_id == "4" %} + <div class="tab-pane active" id="gemma"> <div style="padding: 20px" class="form-horizontal"> <div class="mapping_method_fields form-group"> - <label for="maf_plink" class="col-xs-3 control-label">Minor allele threshold</label> + <label for="maf_gemma" class="col-xs-3 control-label">Minor allele threshold</label> <div style="margin-left: 20px;" class="col-xs-3 controls"> - <input name="maf_plink" value="0.01" type="text" class="form-control"> + <input name="maf_gemma" value="0.01" type="text" class="form-control"> </div> </div> </div> <div class="form-group"> - <label for="plink_compute" class="col-xs-1 control-label"></label> + <label for="gemma_compute" class="col-xs-1 control-label"></label> <div style="margin-left:20px;" class="col-xs-4 controls"> - <button id="plink_compute" class="btn submit_special btn-primary" data-url="/marker_regression" title="Compute Marker Regression"> + <button id="gemma_compute" class="btn submit_special btn-primary" data-url="/marker_regression" title="Compute Marker Regression"> Compute </button> </div> </div> </div> - - <div class="tab-pane" id="gemma"> + {% if dataset.group.mapping_id == "4" %} + <div class="tab-pane" id="plink"> <div style="padding: 20px" class="form-horizontal"> <div class="mapping_method_fields form-group"> - <label for="maf_gemma" class="col-xs-3 control-label">Minor allele threshold</label> + <label for="maf_plink" class="col-xs-3 control-label">Minor allele threshold</label> <div style="margin-left: 20px;" class="col-xs-3 controls"> - <input name="maf_gemma" value="0.01" type="text" class="form-control"> + <input name="maf_plink" value="0.01" type="text" class="form-control"> </div> </div> </div> <div class="form-group"> - <label for="gemma_compute" class="col-xs-1 control-label"></label> + <label for="plink_compute" class="col-xs-1 control-label"></label> <div style="margin-left:20px;" class="col-xs-4 controls"> - <button id="gemma_compute" class="btn submit_special btn-primary" data-url="/marker_regression" title="Compute Marker Regression"> + <button id="plink_compute" class="btn submit_special btn-primary" data-url="/marker_regression" title="Compute Marker Regression"> Compute </button> </div> </div> </div> {% endif %} + {% endif %} </div> </div> </div> diff --git a/wqflask/wqflask/templates/show_trait_statistics.html b/wqflask/wqflask/templates/show_trait_statistics.html index 8e237868..0a0e9990 100644 --- a/wqflask/wqflask/templates/show_trait_statistics.html +++ b/wqflask/wqflask/templates/show_trait_statistics.html @@ -106,11 +106,11 @@ <div id="prob_plot_title"></div> <svg></svg> </div> - + <div id="shapiro_wilk_text"></div> <div> More about <a href="http://en.wikipedia.org/wiki/Normal_probability_plot">Normal Probability Plots</a> and more about interpreting these plots from the <a href="http://genenetwork.org/glossary.html#normal_probability">glossary</a> - </div> + </div> </div> diff --git a/wqflask/wqflask/templates/submit_trait.html b/wqflask/wqflask/templates/submit_trait.html new file mode 100644 index 00000000..2529a4f4 --- /dev/null +++ b/wqflask/wqflask/templates/submit_trait.html @@ -0,0 +1,103 @@ +{% extends "base.html" %} +{% block title %}Trait Submission{% endblock %} +{% block content %} +<!-- Start of body --> + <form method="post" action="/show_trait"> + <div class="container-fluid"> + + {{ flash_me() }} + + <div class="row" style="width: 1400px !important;"> + <div class="col-xs-5"> + <section id="description"> + <div> + <h2 style="color: #5a5a5a;">Introduction</h2> + <hr> + <p>The trait values that you enter are statistically compared with verified genotypes collected at a set of microsatellite markers in each RI set. The markers are drawn from a set of over 750, but for each set redundant markers have been removed, preferentially retaining those that are most informative.</p> + <p>These error-checked RI mapping data match theoretical expectations for RI strain sets. The cumulative adjusted length of the RI maps are approximately 1400 cM, a value that matches those of both MIT maps and Chromosome Committee Report maps. See our full description of the genetic data collected as part of the WebQTL project.</p> + </div> + </section> + <br> + <section id="description"> + <div> + <h2 style="color: #5a5a5a;">About Your Data</h2> + <hr> + <p>You can open a separate window giving the number of strains for each data set and sample data.</p> + <p>None of your submitted data is copied or stored by this system except during the actual processing of your submission. By the time the reply page displays in your browser, your submission has been cleared from this system.</p> + </div> + </section> + </div> + <div style="padding-left:20px" class="col-xs-6" style="width: 600px !important;"> + <section id="submission_form"> + <div class="form-group"> + <h2 style="color: #5a5a5a;">Trait Submission Form</h2> + <hr> + <div style="padding-bottom: 50px;" class="form-horizontal"> + <h3>1. Choose cross or RI set:</h3> + <br> + <div class="col-xs-2" style="min-height: 15vh; display: flex; align-items: center;"> + <img src="/static/new/images/step1.gif"> + </div> + <div class="col-xs-10"> + <div class="form-group"> + <label for="species" class="col-xs-2 control-label">Species: </label> + <div class="col-xs-4 controls"> + <select name="species" id="species" class="form-control span3" style="width: 280px !important;"></select> + </div> + </div> + <div class="form-group"> + <label for="group" class="col-xs-2 control-label">Group: </label> + <div class="col-xs-4 controls"> + <select name="group" id="group" class="form-control span3" style="width: 280px !important;"></select> + </div> + </div> + </div> + <div class="form-horizontal"><img src="/static/new/images/arrowdown.gif" style="display:block; margin-left: 50%; margin-right: 50%;"></div> + </div> + <div style="padding-bottom: 50px;" class="form-horizontal"> + <h3>2. Enter Trait Data:</h3> + <br> + <div class="col-xs-2" style="min-height: 100vh; display: flex; align-items: center;"> + <img src="/static/new/images/step2.gif"> + </div> + <div class="col-xs-10"> + <div class="form-group" style="padding-left: 15px;"> + <p> + <b>From a File:</b> You can enter data by entering a file name here. The file should contain a series of numbers representing trait values. + The values can be on one line separated by spaces or tabs, or they can be on separate lines. Include one value for each progeny individual + or recombinant inbred line. Represent missing values with a non-numeric character such as "x". If you have chosen a recombinant inbred set, + when you submit your data will be displayed in a form where you can confirm and/or edit them. If you enter a file name here, any data that + you paste into the next section will be ignored. + </p> + <input type="file" name="trait_file" style="border-width: 1px; border-style: solid; border-color: #999999;"> + </div> + <div class="form-group" style="padding-left: 15px;"> + <p> + <b>By Pasting or Typing Multiple Values:</b> You can enter data by pasting a series of numbers representing trait values into this area. + The values can be on one line separated by spaces or tabs, or they can be on separate lines. Include one value for each progeny individual + or recombinant inbredline. Represent missing values with a non-numeric character such as "x". If you have chosen a recombinant inbred set, + when you submit your data will be displayed in a form where you can confirm and/or edit them. If you enter a file name in the previous section, + any data that you paste here will be ignored. Check sample data for the correct format. + </p> + <textarea name="trait_paste" rows="6" cols="70"></textarea> + </div> + </div> + <div class="controls" style="display:block; margin-left: 40%; margin-right: 20%;"> + <input type="submit" style="width: 110px; margin-right: 25px;" class="btn btn-primary form-control col-xs-2" value="Submit Trait"> + <input type="reset" style="width: 110px;" class="btn btn-primary form-control col-xs-2" value="Reset"> + </div> + </div> + </section> + </div> + </div> + </div> + </form> + +{%endblock%} + +{% block js %} + <script src="/static/new/javascript/dataset_select_menu_orig.js"></script> + <script> + gn_server_url = "{{ gn_server_url }}"; + </script> +{% endblock %} diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py index a6184ef5..c3b91c6e 100644 --- a/wqflask/wqflask/views.py +++ b/wqflask/wqflask/views.py @@ -51,10 +51,12 @@ from wqflask.correlation_matrix import show_corr_matrix from wqflask.correlation import corr_scatter_plot from wqflask.wgcna import wgcna_analysis from wqflask.ctl import ctl_analysis +#from wqflask.trait_submission import submit_trait from utility import webqtlUtil from utility import temp_data from utility.tools import SQL_URI,TEMPDIR,USE_REDIS,USE_GN_SERVER,GN_SERVER_URL,GN_VERSION +from utility.helper_functions import get_species_groups from base import webqtlFormData from base.webqtlConfig import GENERATED_IMAGE_DIR, GENERATED_TEXT_DIR @@ -306,6 +308,20 @@ def environments(): doc = docs.Docs("environments") return render_template("docs.html", **doc.__dict__) +@app.route("/submit_trait") +def submit_trait_form(): + species_and_groups = get_species_groups() + return render_template("submit_trait.html", **{'species_and_groups' : species_and_groups, 'gn_server_url' : GN_SERVER_URL, 'version' : GN_VERSION}) + +@app.route("/create_temp_trait", methods=('POST',)) +def create_temp_trait(): + print("REQUEST.FORM:", request.form) + #template_vars = submit_trait.SubmitTrait(request.form) + + doc = docs.Docs("links") + return render_template("links.html", **doc.__dict__) + #return render_template("show_trait.html", **template_vars.__dict__) + @app.route('/export_trait_excel', methods=('POST',)) def export_trait_excel(): """Excel file consisting of the sample data from the trait data and analysis page""" @@ -387,9 +403,6 @@ def export_perm_data(): @app.route("/show_trait") def show_trait_page(): - # Here it's currently too complicated not to use an fd that is a webqtlFormData - #fd = webqtlFormData.webqtlFormData(request.args) - #logger.info("stp y1:", pf(vars(fd))) template_vars = show_trait.ShowTrait(request.args) #logger.info("js_data before dump:", template_vars.js_data) template_vars.js_data = json.dumps(template_vars.js_data, @@ -452,6 +465,60 @@ def heatmap_page(): def mapping_results_container_page(): return render_template("mapping_results_container.html") +@app.route("/loading", methods=('POST',)) +def loading_page(): + initial_start_vars = request.form + logger.debug("Marker regression called with initial_start_vars:", initial_start_vars.items()) + #temp_uuid = initial_start_vars['temp_uuid'] + wanted = ( + 'temp_uuid', + 'trait_id', + 'dataset', + 'method', + 'trimmed_markers', + 'selected_chr', + 'chromosomes', + 'mapping_scale', + 'score_type', + 'suggestive', + 'significant', + 'num_perm', + 'permCheck', + 'perm_output', + 'num_bootstrap', + 'bootCheck', + 'bootstrap_results', + 'LRSCheck', + 'maf', + 'manhattan_plot', + 'control_marker', + 'control_marker_db', + 'do_control', + 'genofile', + 'pair_scan', + 'startMb', + 'endMb', + 'graphWidth', + 'lrsMax', + 'additiveCheck', + 'showSNP', + 'showGenes', + 'viewLegend', + 'haplotypeAnalystCheck', + 'mapmethod_rqtl_geno', + 'mapmodel_rqtl_geno' + ) + start_vars_container = {} + start_vars = {} + for key, value in initial_start_vars.iteritems(): + if key in wanted or key.startswith(('value:')): + start_vars[key] = value + + start_vars_container['start_vars'] = start_vars + rendered_template = render_template("loading.html", **start_vars_container) + + return rendered_template + @app.route("/marker_regression", methods=('POST',)) def marker_regression_page(): initial_start_vars = request.form @@ -480,6 +547,7 @@ def marker_regression_page(): 'control_marker', 'control_marker_db', 'do_control', + 'genofile', 'pair_scan', 'startMb', 'endMb', |