diff options
| -rwxr-xr-x | wqflask/wqflask/marker_regression/marker_regression.py | 1646 | ||||
| -rw-r--r-- | wqflask/wqflask/my_pylmm/pyLMM/lmm.py | 47 | ||||
| -rw-r--r-- | wqflask/wqflask/templates/marker_regression.html | 23 | ||||
| -rw-r--r-- | wqflask/wqflask/views.py | 62 |
4 files changed, 139 insertions, 1639 deletions
diff --git a/wqflask/wqflask/marker_regression/marker_regression.py b/wqflask/wqflask/marker_regression/marker_regression.py index 4f6e8e1a..9278c80d 100755 --- a/wqflask/wqflask/marker_regression/marker_regression.py +++ b/wqflask/wqflask/marker_regression/marker_regression.py @@ -5,474 +5,57 @@ from base import data_set #import create_dataset from pprint import pformat as pf -import time import string -import math -#from math import * -#import piddle -import sys import os -import httplib -import urllib import collections import numpy as np -import json +import simplejson as json + +#from redis import Redis -from htmlgen import HTMLgen2 as HT from utility import Plot, Bunch -from utility.benchmark import Bench -from wqflask.interval_analyst import GeneUtil from base.trait import GeneralTrait from base import data_set from base import species -from base.templatePage import templatePage -from utility import webqtlUtil, helper_functions +from utility import helper_functions from base import webqtlConfig -from dbFunction import webqtlDatabaseFunction -from base.GeneralObject import GeneralObject from wqflask.my_pylmm.data import prep_data from wqflask.my_pylmm.pyLMM import lmm from utility import temp_data -import reaper -import cPickle -from utility.THCell import THCell -from utility.TDCell import TDCell - - class MarkerRegression(object): - #def __init__(self, start_vars): - # - # print("[mike] Now start_vars is:", pf(start_vars)) - # - # self.dataset = data_set.create_dataset(start_vars['dataset_name']) - # self.this_trait = GeneralTrait(dataset=self.dataset.name, - # name=start_vars['trait_id'], - # cellid=None) - # - # print("self.this_trait is: ", pf(self.this_trait)) - # print("self.dataset is: ", pf(self.dataset)) - - def __init__(self, start_vars): - #templatePage.__init__(self, fd) - - #if not self.openMysql(): - # return - - #print("start_vars are: ", pf(start_vars)) + def __init__(self, start_vars, temp_uuid): helper_functions.get_species_dataset_trait(self, start_vars) - print("start_vars is:", start_vars) - - - self.num_perm = int(start_vars['num_perm']) - #self.temp_uuid = start_vars['temp_uuid'] - self.temp_data = temp_data.TempData(start_vars['temp_uuid']) - - - # Passed in by the form (user might have edited) - #samples = start_vars['allsamples'].split() + tempdata = temp_data.TempData(temp_uuid) - self.samples = [] # Want only ones with values + self.samples = [] # Want only ones with values self.vals = [] - #self.variances = [] - - assert start_vars['display_all_lrs'] in ('True', 'False') - self.display_all_lrs = True if start_vars['display_all_lrs'] == 'True' else False - + for sample in self.dataset.group.samplelist: value = start_vars['value:' + sample] - #variance = start_vars['variance:' + sample] - #if variance.strip().lower() == 'x': - # variance = 0 - #else: - # variance = float(variance) - #if value.strip().lower() != 'x': self.samples.append(str(sample)) self.vals.append(value) - #self.variances.append(variance) - - - - #self.initializeParameters(start_vars) - - #filename= webqtlUtil.genRandStr("Itvl_") - #ChrList,ChrNameOrderIdDict,ChrOrderIdNameDict,ChrtLengthMbList= self.getChrNameOrderIdLength(RISet=fd.RISet) - - if False: # For PLINK - - traitInfoList = string.split(string.strip(fd.identification),':') - probesetName = string.strip(traitInfoList[-1]) - plinkOutputFileName= webqtlUtil.genRandStr("%s_%s_"%(fd.RISet,probesetName)) - - # get related values from fd.allTraitData; the format of 'allTraitValueDict'is {strainName1: value=-0.2...} - fd.readData() - allTraitValueDict = fd.allTraitData - - #automatically generate pheno txt file for PLINK - self.genPhenoTxtFileForPlink(phenoFileName=plinkOutputFileName,RISetName=fd.RISet,probesetName=probesetName, valueDict=allTraitValueDict) - # os.system full path is required for input and output files; specify missing value is -9999 - plink_command = '%splink/plink --noweb --ped %splink/%s.ped --no-fid --no-parents --no-sex --no-pheno --map %splink/%s.map --pheno %s/%s.txt --pheno-name %s --missing-phenotype -9999 --out %s%s --assoc ' % (webqtlConfig.HTMLPATH, webqtlConfig.HTMLPATH, fd.RISet, webqtlConfig.HTMLPATH, fd.RISet, webqtlConfig.TMPDIR, plinkOutputFileName, probesetName, webqtlConfig.TMPDIR, plinkOutputFileName) - - os.system(plink_command) - - if fd.identification: - heading2 = HT.Paragraph('Trait ID: %s' % fd.identification) - heading2.__setattr__("class","subtitle") - self.dict['title'] = '%s: Genome Association' % fd.identification - else: - heading2 = "" - self.dict['title'] = 'Genome Association' - - if fd.traitInfo: - symbol,chromosome,MB = string.split(fd.traitInfo,'\t') - heading3 = HT.Paragraph('[ ',HT.Strong(HT.Italic('%s' % symbol,id="green")),' on Chr %s @ %s Mb ]' % (chromosome,MB)) - else: - heading3 = "" - - heading = HT.Paragraph('Trait Data Entered for %s Set' % fd.RISet) - heading.__setattr__("class","title") - - # header info part:Trait Data Entered for HLC Set & Trait ID: - headerdiv = HT.TR(HT.TD(heading, heading2,heading3, width='45%',valign='top', align='left', bgColor='#eeeeee')) - - self.ChrList=ChrList # get chr name from '1' to 'X' - self.ChrLengthMbList = ChrLengthMbList - - # build plink result dict based on chr, key is chr name, value is in list type including Snpname, bp and pvalue info - plinkResultDict={} - count,minPvalue,plinkResultDict =self.getPlinkResultDict(outputFileName=plinkOutputFileName,thresholdPvalue=self.pValue,ChrOrderIdNameDict=ChrOrderIdNameDict) - - # if can not find results which are matched with assigned p-value, system info will show up - if count >0: - - #for genome association report table - reportTable="" - # sortable table object - resultstable,tblobj,bottomInfo = self.GenReportForPLINK(ChrNameOrderIdDict=ChrNameOrderIdDict, RISet=fd.RISet,plinkResultDict=plinkResultDict,thresholdPvalue=self.pValue,chrList=self.ChrList) - - # creat object for result table for sort function - objfile = open('%s.obj' % (webqtlConfig.TMPDIR+filename), 'wb') - cPickle.dump(tblobj, objfile) - objfile.close() - - sortby = ("Index", "up") - reportTable =HT.Div(webqtlUtil.genTableObj(tblobj=tblobj, file=filename, sortby=sortby, tableID = "sortable", addIndex = "0"), Id="sortable") - - descriptionTable = HT.TableLite(border=0, cellpadding=0, cellspacing=0) - descriptionTable.append(HT.TR(HT.TD(reportTable, colspan=3))) - descriptionTable.append(HT.TR(HT.TD(HT.BR(),HT.BR()))) - descriptionTable.append(bottomInfo) - - # get each chr's length - self.ChrLengthMbList = map(lambda x: x/1000000.0, self.ChrLengthMbList) # change unit from bp to mb - self.ChrLengthMbSum = reduce(lambda x, y:x+y, self.ChrLengthMbList, 0.0)# get total length of all chrs - if self.ChrLengthMbList: - self.GraphInterval = self.ChrLengthMbSum/(len(self.ChrLengthMbList)*12) #Empirical Mb interval - else: - self.GraphInterval = 1 - - # for human data, there's no CM value - self.ChrLengthCMList = [] - self.ChrLengthCMSum = 0 + + self.gen_data(tempdata) - # begin: common part with human data - intCanvas = pid.PILCanvas(size=(self.graphWidth,self.graphHeight)) - gifmap = self.plotIntMappingForPLINK(fd, intCanvas, startMb = self.startMb, endMb = self.endMb, plinkResultDict=plinkResultDict) - - intCanvas.save(os.path.join(webqtlConfig.IMGDIR, filename), format='png') - intImg=HT.Image('/image/'+filename+'.png', border=0, usemap='#WebQTLImageMap') - - TD_LR = HT.TR(HT.TD(HT.Blockquote(gifmap,intImg, HT.P()), bgColor='#eeeeee', height = 200)) - self.dict['body'] = str(headerdiv)+str(TD_LR)+str(resultstable)+str(HT.TR(HT.TD(descriptionTable))) - - else: - heading = "Genome Association" - detail = ['There is no association with marker that meets this criteria. Please provide a less stringend threshold. The minimun p-value is %s.'%minPvalue] - self.error(heading=heading,detail=detail) - return - - else: # QTLreaper result - #if not fd.genotype: - # fd.readData() - # - #fd.parentsf14regression = fd.formdata.getvalue('parentsf14regression') - #weightedRegression = fd.formdata.getvalue('applyVarianceSE') - - #if fd.parentsf14regression and fd.genotype_2: - # _genotype = fd.genotype_2 - #else: - #print("[black]:", self.genotype) - - #_strains, _vals, _vars, N = fd.informativeStrains(_genotype.prgy, weightedRegression) - - #if fd.identification: - # heading2 = HT.Paragraph('Trait ID: %s' % fd.identification) - # heading2.__setattr__("class","subtitle") - # self.dict['title'] = '%s: Genome Association' % fd.identification - #else: - # heading2 = "" - # self.dict['title'] = 'Genome Association' - - #if fd.traitInfo: - # symbol, chromosome, MB = string.split(fd.traitInfo,'\t') - # heading3 = HT.Paragraph('[ ',HT.Strong(HT.Italic('%s' % symbol,id="green")),' on Chr %s @ %s Mb ]' % (chromosome,MB)) - #else: - # heading3 = "" - - ### Todo in 2013: Don't allow marker regression in show trait page when number of samples - ### with values < 5 - - #if N < webqtlConfig.KMININFORMATIVE: - # heading = "Genome Association" - # detail = ['Fewer than %d strain data were entered for %s data set. No mapping attempted.' % (webqtlConfig.KMININFORMATIVE, fd.RISet)] - # self.error(heading=heading,detail=detail) - # return - #else: - # heading = HT.Paragraph('Trait Data Entered for %s Set' % fd.RISet) - # heading.__setattr__("class","title") - - #datadiv = HT.TD(heading, heading2,heading3, width='45%',valign='top', align='left', bgColor='#eeeeee') - #resultstable,tblobj,bottomInfo = self.GenReport(ChrNameOrderIdDict,fd, _genotype, _strains, _vals, _vars) - - self.gen_data() - #resultstable = self.GenReport(fd, _genotype, _strains, _vals, _vars) - - # creat object for result table for sort function - ##objfile = open('%s.obj' % (webqtlConfig.TMPDIR+filename), 'wb') - ##cPickle.dump(tblobj, objfile) - ##objfile.close() - # - #sortby = ("Index", "up") - #reportTable =HT.Div(webqtlUtil.genTableObj(tblobj=tblobj, file=filename, sortby=sortby, tableID = "sortable", addIndex = "0"), Id="sortable") - # - #descriptionTable = HT.TableLite(border=0, cellpadding=0, cellspacing=0) - #descriptionTable.append(HT.TR(HT.TD(reportTable, colspan=3))) - #descriptionTable.append(HT.TR(HT.TD(HT.BR(),HT.BR()))) - #descriptionTable.append(bottomInfo) - - #self.traitList=_vals - - ##########################plot####################### - - ################################################################ - # Generate Chr list and Retrieve Length Information - ################################################################ - #self.genotype= _genotype - #self.ChrList = [("All", -1)] - - #for i, indChr in enumerate(self.genotype): - # self.ChrList.append((indChr.name, i)) - - #self.cursor.execute(""" - # Select - # Length from Chr_Length, InbredSet - # where - # Chr_Length.SpeciesId = InbredSet.SpeciesId AND - # InbredSet.Name = '%s' AND - # Chr_Length.Name in (%s) - # Order by - # OrderId - # """ % (fd.RISet, string.join(map(lambda X: "'%s'" % X[0], self.ChrList[1:]), ", "))) - # - #self.ChrLengthMbList = self.cursor.fetchall() - #self.ChrLengthMbList = map(lambda x: x[0]/1000000.0, self.ChrLengthMbList) - #self.ChrLengthMbSum = reduce(lambda x, y:x+y, self.ChrLengthMbList, 0.0) - #if self.ChrLengthMbList: - # self.MbGraphInterval = self.ChrLengthMbSum/(len(self.ChrLengthMbList)*12) #Empirical Mb interval - #else: - # self.MbGraphInterval = 1 - # - #self.ChrLengthCMList = [] - #for i, _chr in enumerate(self.genotype): - # self.ChrLengthCMList.append(_chr[-1].cM - _chr[0].cM) - #self.ChrLengthCMSum = reduce(lambda x, y:x+y, self.ChrLengthCMList, 0.0)# used for calculate plot scale - - #self.GraphInterval = self.MbGraphInterval #Mb - - # begin: common part with human data - #intCanvas = pid.PILCanvas(size=(self.graphWidth,self.graphHeight)) - #gifmap = self.plotIntMapping(fd, intCanvas, startMb = self.startMb, endMb = self.endMb, showLocusForm= "") - #filename= webqtlUtil.genRandStr("Itvl_") - #intCanvas.save(os.path.join(webqtlConfig.IMGDIR, filename), format='png') - #intImg=HT.Image('/image/'+filename+'.png', border=0, usemap='#WebQTLImageMap') - - ################################################################ - # footnote goes here - ################################################################ - #btminfo = HT.Paragraph(Id="smallsize") #Small('More information about this graph is available here.') - - #if (self.additiveChecked): - # btminfo.append(HT.BR(), 'A positive additive coefficient (', HT.Font('green', color='green'), ' line) indicates that %s alleles increase trait values. In contrast, a negative additive coefficient (' % fd.ppolar, HT.Font('red', color='red'), ' line) indicates that %s alleles increase trait values.' % fd.mpolar) - - - #TD_LR = HT.TR(HT.TD(HT.Blockquote(gifmap,intImg, HT.P()), bgColor='#eeeeee', height = 200)) - # - #self.dict['body'] = str(datadiv)+str(TD_LR)+str(resultstable)+str(HT.TR(HT.TD(descriptionTable))) - - # end: common part with human data - - chromosome_mb_lengths = {} - for key in self.species.chromosomes.chromosomes.keys(): - chromosome_mb_lengths[key] = self.species.chromosomes.chromosomes[key].mb_length - - print("chromosomes is:", pf(chromosome_mb_lengths)) - - self.js_data = dict( - chromosomes = chromosome_mb_lengths, - qtl_results = self.pure_qtl_results, - lrs_values = self.lrs_values, - ) - - - # add by NL 10-2-2011 - def initializeParameters(self, fd): - """ - Initializes all of the MarkerRegressionPage class parameters, - acquiring most values from the formdata (fd) + #Get chromosome lengths for drawing the manhattan plot + chromosome_mb_lengths = {} + for key in self.species.chromosomes.chromosomes.keys(): + chromosome_mb_lengths[key] = self.species.chromosomes.chromosomes[key].mb_length + + self.js_data = dict( + chromosomes = chromosome_mb_lengths, + qtl_results = self.qtl_results, + ) - """ - ################################### - # manhattam plot parameters - ################################### - - self.graphHeight = 600 - self.graphWidth = 1280 - self.plotScale = 'physic' - self.selectedChr = -1 - self.GRAPH_BACK_DARK_COLOR = pid.HexColor(0xF1F1F9) - self.GRAPH_BACK_LIGHT_COLOR = pid.HexColor(0xFBFBFF) - self.LRS_COLOR = pid.HexColor(0x0000FF) - self.LRS_LOD ='LRS' - self.lrsMax = float(fd.formdata.getvalue('lrsMax', 0)) - self.startMb = fd.formdata.getvalue('startMb', "-1") - self.endMb = fd.formdata.getvalue('endMb', "-1") - self.mappingMethodId = fd.formdata.getvalue('mappingMethodId', "0") - self.permChecked=True - self.multipleInterval=False - self.SIGNIFICANT_WIDTH = 5 - self.SUGGESTIVE_WIDTH = 5 - self.SIGNIFICANT_COLOR = pid.HexColor(0xEBC7C7) - self.SUGGESTIVE_COLOR = pid.gainsboro - self.colorCollection = [self.LRS_COLOR] - self.additiveChecked= True - self.ADDITIVE_COLOR_POSITIVE = pid.green - self.legendChecked =False - self.pValue=float(fd.formdata.getvalue('pValue',-1)) - - # allow user to input p-value greater than 1, - # in this case, the value will be treated as -lgP value. so the input value needs to be transferred to power of 10 format - if self.pValue >1: - self.pValue =10**-(self.pValue) - - try: - self.startMb = float(self.startMb) - self.endMb = float(self.endMb) - if self.startMb > self.endMb: - temp = self.startMb - self.startMb = self.endMb - self.endMb = temp - #minimal distance 10bp - if self.endMb - self.startMb < 0.00001: - self.endMb = self.startMb + 0.00001 - except: - self.startMb = self.endMb = -1 - - def GenReportForPLINK(self, ChrNameOrderIdDict={},RISet='',plinkResultDict= {},thresholdPvalue=-1,chrList=[]): - - 'Create an HTML division which reports any loci which are significantly associated with the submitted trait data.' - ######################################### - # Genome Association report - ######################################### - locusFormName = webqtlUtil.genRandStr("fm_") - locusForm = HT.Form(cgi = os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), \ - enctype='multipart/form-data', name=locusFormName, submit=HT.Input(type='hidden')) - hddn = {'FormID':'showDatabase','ProbeSetID':'_','database':RISet+"Geno",'CellID':'_', \ - 'RISet':RISet, 'incparentsf1':'on'} - for key in hddn.keys(): - locusForm.append(HT.Input(name=key, value=hddn[key], type='hidden')) - - regressionHeading = HT.Paragraph('Genome Association Report') - regressionHeading.__setattr__("class","title") - - filename= webqtlUtil.genRandStr("GenomeAsscociation_") - fpText = open('%s.txt' % (webqtlConfig.TMPDIR+filename), 'wb') - fpText.write('The loci meet the criteria of P-Value <= %3.6f.\n'%thresholdPvalue) - pValueInfo =HT.Paragraph('The loci meet the criteria of P-Value <= %3.6f.\n'%thresholdPvalue) - - textUrl = HT.Href(text = 'Download', url= '/tmp/'+filename+'.txt', target = "_blank", Class='fs12 fwn') - bottomInfo = HT.TR(HT.TD(HT.Paragraph(textUrl, ' result in tab-delimited text format.', HT.BR(), HT.BR(),Class="fs12 fwn"), colspan=3)) - - tblobj={} # build dict for genTableObj function; keys include header and body - tblobj_header = [] # value of key 'header' - tblobj_body=[] # value of key 'body' - reportHeaderRow=[] # header row list for tblobj_header (html part) - headerList=['Index','SNP Name','Chr','Mb','-log(P)'] - headerStyle="fs14 fwb ffl b1 cw cbrb" # style of the header - cellColorStyle = "fs13 b1 fwn c222" # style of the cells - - if headerList: - for ncol, item in enumerate(headerList): - reportHeaderRow.append(THCell(HT.TD(item, Class=headerStyle, valign='bottom',nowrap='ON'),text=item, idx=ncol)) - #download file for table headers' names - fpText.write('SNP_Name\tChromosome\tMb\t-log(P)\n') - - tblobj_header.append(reportHeaderRow) - tblobj['header']=tblobj_header - - index=1 - for chr in chrList: - - if plinkResultDict.has_key(chr): - if chr in ChrNameOrderIdDict.keys(): - chrOrderId =ChrNameOrderIdDict[chr] - else: - chrOrderId=chr - - valueList=plinkResultDict[chr] - - for value in valueList: - reportBodyRow=[] # row list for tblobj_body (html part) - snpName=value[0] - bp=value[1] - mb=int(bp)/1000000.0 - - try: - pValue =float(value[2]) - except: - pValue =1 - formattedPvalue = -math.log10(pValue) - - formattedPvalue = webqtlUtil.SciFloat(formattedPvalue) - dbSnprs=snpName.replace('rs','') - SnpHref = HT.Href(text=snpName, url="http://www.ncbi.nlm.nih.gov/projects/SNP/snp_ref.cgi?rs=%s"%dbSnprs, target="_blank") - - selectCheck=HT.Input(type="checkbox", Class="checkbox", name="index",value=index, onClick="highlight(this)") - reportBodyRow.append(TDCell(HT.TD(str(index),selectCheck, align='right',Class=cellColorStyle,nowrap='ON'),str(index),index)) - reportBodyRow.append(TDCell(HT.TD(SnpHref, Class=cellColorStyle,nowrap='ON'),snpName, snpName)) - reportBodyRow.append(TDCell(HT.TD(chr, Class=cellColorStyle, align="center",nowrap='ON'),chr, chrOrderId)) - reportBodyRow.append(TDCell(HT.TD('%3.6f'%mb, Class=cellColorStyle, align="center",nowrap='ON'),mb, mb)) - reportBodyRow.append(TDCell(HT.TD(formattedPvalue, Class=cellColorStyle, align="center",nowrap='ON'),formattedPvalue, float(formattedPvalue))) - - fpText.write('%s\t%s\t%3.6f\t%s\n' % (snpName, str(chr), mb, formattedPvalue)) - index+=1 - - tblobj_body.append(reportBodyRow) - - tblobj['body']=tblobj_body - rv=HT.TR(HT.TD(regressionHeading,pValueInfo, locusForm, HT.P(), width='55%',valign='top', align='left',bgColor='#eeeeee')) - - return rv, tblobj,bottomInfo - - - def gen_data(self): - """Todo: Fill this in here""" - #print("Temp UUID: ", self.temp_uuid) + def gen_data(self, tempdata): + """Generates p-values for each marker""" genotype_data = [marker['genotypes'] for marker in self.dataset.group.markers.markers] @@ -482,138 +65,42 @@ class MarkerRegression(object): pheno_vector = np.array([float(val) for val in self.vals if val!="x"]) genotype_matrix = np.array(trimmed_genotype_data).T - with Bench("Calculate Kinship"): - kinship_matrix = lmm.calculate_kinship(genotype_matrix, self.temp_data) + t_stats, p_values = lmm.run( + pheno_vector, + genotype_matrix, + restricted_max_likelihood=True, + refit=False, + temp_data=tempdata + ) - with Bench("Create LMM object"): - lmm_ob = lmm.LMM(pheno_vector, kinship_matrix) - - with Bench("LMM_ob fitting"): - lmm_ob.fit() - - - with Bench("Doing gwas"): - t_stats, p_values = lmm.GWAS(pheno_vector, - genotype_matrix, - kinship_matrix, - restricted_max_likelihood=True, - refit=False, - temp_data=self.temp_data) - - Bench().report() - self.dataset.group.markers.add_pvalues(p_values) - self.lrs_values = [marker['lrs_value'] for marker in self.dataset.group.markers.markers] - lrs_values_sorted = sorted(self.lrs_values) - - lrs_values_length = len(lrs_values_sorted) - - def lrs_threshold(place): - return lrs_values_sorted[int((lrs_values_length * place) -1)] - - self.lrs_thresholds = Bunch( - suggestive = lrs_threshold(.37), - significant = lrs_threshold(.95), - highly_significant = lrs_threshold(.99), - ) + #self.lrs_values = [marker['lrs_value'] for marker in self.dataset.group.markers.markers] + #lrs_values_sorted = sorted(self.lrs_values) + # + #lrs_values_length = len(lrs_values_sorted) + # + #def lrs_threshold(place): + # return lrs_values_sorted[int((lrs_values_length * place) -1)] + # + #self.lrs_thresholds = Bunch( + # suggestive = lrs_threshold(.37), + # significant = lrs_threshold(.95), + # highly_significant = lrs_threshold(.99), + # ) - if self.display_all_lrs: - self.filtered_results = self.dataset.group.markers.markers - else: - self.filtered_results = [] - self.pure_qtl_results = [] - for marker in self.dataset.group.markers.markers: - self.pure_qtl_results.append(marker) - if marker['lrs_value'] > self.lrs_thresholds.suggestive: - self.filtered_results.append(marker) + self.qtl_results = self.dataset.group.markers.markers - for marker in self.filtered_results: + for marker in self.qtl_results: if marker['lrs_value'] > webqtlConfig.MAXLRS: marker['lrs_value'] = webqtlConfig.MAXLRS - #if fd.genotype.type == 'intercross': - # ncol =len(headerList) - # reportHeaderRow.append(THCell(HT.TD('Dominance Effect', Class=headerStyle, valign='bottom',nowrap='ON'),text='Dominance Effect', idx=ncol)) - # - # #download file for table headers' names - # fpText.write('LRS\tChromosome\tMb\tLocus\tAdditive Effect\tDominance Effect\n') - # - # index=1 - # for ii in filtered: - # #add by NL 06-20-2011: set LRS to 460 when LRS is infinite, - # if ii.lrs==float('inf') or ii.lrs>webqtlConfig.MAXLRS: - # LRS=webqtlConfig.MAXLRS #maximum LRS value - # else: - # LRS=ii.lrs - # - # if LRS > fd.significance: - # lrs = HT.TD(HT.Font('%3.3f*' % LRS, color='#FF0000'),Class=cellColorStyle) - # else: - # lrs = HT.TD('%3.3f' % LRS,Class=cellColorStyle) - # - # if ii.locus.chr in ChrNameOrderIdDict.keys(): - # chrOrderId =ChrNameOrderIdDict[ii.locus.chr] - # else: - # chrOrderId=ii.locus.chr - # - # reportBodyRow=[] # row list for tblobj_body (html part) - # selectCheck=HT.Input(type="checkbox", Class="checkbox", name="index",value=index, onClick="highlight(this)") - # reportBodyRow.append(TDCell(HT.TD(str(index),selectCheck, align='right',Class=cellColorStyle,nowrap='ON'),str(index),index)) - # reportBodyRow.append(TDCell(lrs,LRS, LRS)) - # reportBodyRow.append(TDCell(HT.TD(ii.locus.chr, Class=cellColorStyle, align="center",nowrap='ON'),ii.locus.chr, chrOrderId)) - # reportBodyRow.append(TDCell(HT.TD('%3.6f'%ii.locus.Mb, Class=cellColorStyle, align="center",nowrap='ON'),ii.locus.Mb, ii.locus.Mb)) - # reportBodyRow.append(TDCell(HT.TD(HT.Href(text=ii.locus.name, url = "javascript:showTrait('%s','%s');" % (locusFormName, ii.locus.name), Class='normalsize'), Class=cellColorStyle, align="center",nowrap='ON'),ii.locus.name, ii.locus.name)) - # reportBodyRow.append(TDCell(HT.TD('%3.3f' % ii.additive, Class=cellColorStyle, align="center",nowrap='ON'),ii.additive, ii.additive)) - # reportBodyRow.append(TDCell(HT.TD('%3.3f' % ii.dominance, Class=cellColorStyle, align="center",nowrap='ON'),ii.dominance, ii.dominance)) - # - # fpText.write('%2.3f\t%s\t%3.6f\t%s\t%2.3f\t%2.3f\n' % (LRS, ii.locus.chr, ii.locus.Mb, ii.locus.name, ii.additive, ii.dominance)) - # index+=1 - # tblobj_body.append(reportBodyRow) - #else: - # #download file for table headers' names - # fpText.write('LRS\tChromosome\tMb\tLocus\tAdditive Effect\n') - # - # index=1 - # for ii in filtered: - # #add by NL 06-20-2011: set LRS to 460 when LRS is infinite, - # if ii.lrs==float('inf') or ii.lrs>webqtlConfig.MAXLRS: - # LRS=webqtlConfig.MAXLRS #maximum LRS value - # else: - # LRS=ii.lrs - # - # if LRS > fd.significance: - # lrs = HT.TD(HT.Font('%3.3f*' % LRS, color='#FF0000'),Class=cellColorStyle) - # else: - # lrs = HT.TD('%3.3f' % LRS,Class=cellColorStyle) - # - # if ii.locus.chr in ChrNameOrderIdDict.keys(): - # chrOrderId =ChrNameOrderIdDict[ii.locus.chr] - # else: - # chrOrderId=ii.locus.chr - # - # reportBodyRow=[] # row list for tblobj_body (html part) - # selectCheck=HT.Input(type="checkbox", Class="checkbox", name="index",value=index, onClick="highlight(this)") - # reportBodyRow.append(TDCell(HT.TD(str(index),selectCheck, align='right',Class=cellColorStyle,nowrap='ON'),str(index),index)) - # reportBodyRow.append(TDCell(lrs,LRS, LRS)) - # reportBodyRow.append(TDCell(HT.TD(ii.locus.chr, Class=cellColorStyle, align="center",nowrap='ON'),ii.locus.chr, chrOrderId)) - # reportBodyRow.append(TDCell(HT.TD('%3.6f'%ii.locus.Mb, Class=cellColorStyle, align="center",nowrap='ON'),ii.locus.Mb, ii.locus.Mb)) - # reportBodyRow.append(TDCell(HT.TD(HT.Href(text=ii.locus.name, url = "javascript:showTrait('%s','%s');" % (locusFormName, ii.locus.name), Class='normalsize'), Class=cellColorStyle, align="center",nowrap='ON'),ii.locus.name, ii.locus.name)) - # reportBodyRow.append(TDCell(HT.TD('%3.3f' % ii.additive, Class=cellColorStyle, align="center",nowrap='ON'),ii.additive, ii.additive)) - # - # fpText.write('%2.3f\t%s\t%3.6f\t%s\t%2.3f\n' % (LRS, ii.locus.chr, ii.locus.Mb, ii.locus.name, ii.additive)) - # index+=1 - # tblobj_body.append(reportBodyRow) - def identify_empty_samples(self): no_val_samples = [] for sample_count, val in enumerate(self.vals): if val == "x": no_val_samples.append(sample_count) return no_val_samples - #print("self.no_val_samples:", self.no_val_samples) - #nums = set(range(0, 176)) - #print("not included:", nums-self.empty_columns) def trim_genotypes(self, genotype_data, no_value_samples): trimmed_genotype_data = [] @@ -626,1054 +113,7 @@ class MarkerRegression(object): genotype = float(genotype) except ValueError: genotype = np.nan - print("Couldn't convert to float:", genotype) pass new_genotypes.append(genotype) trimmed_genotype_data.append(new_genotypes) return trimmed_genotype_data - - def plotIntMappingForPLINK(self, fd, canvas, offset= (80, 120, 20, 80), zoom = 1, startMb = None, endMb = None, showLocusForm = "",plinkResultDict={}): - #calculating margins - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - xLeftOffset = int(xLeftOffset*fontZoom) - xRightOffset = int(xRightOffset*fontZoom) - yBottomOffset = int(yBottomOffset*fontZoom) - - cWidth = canvas.size[0] - cHeight = canvas.size[1] - plotWidth = cWidth - xLeftOffset - xRightOffset - plotHeight = cHeight - yTopOffset - yBottomOffset - startPixelX = xLeftOffset - endPixelX = (xLeftOffset + plotWidth) - - #Drawing Area Height - drawAreaHeight = plotHeight - if self.plotScale == 'physic' and self.selectedChr > -1: # for single chr - drawAreaHeight -= self.ENSEMBL_BAND_HEIGHT + self.UCSC_BAND_HEIGHT+ self.WEBQTL_BAND_HEIGHT + 3*self.BAND_SPACING+ 10*zoom - if self.geneChecked: - drawAreaHeight -= self.NUM_GENE_ROWS*self.EACH_GENE_HEIGHT + 3*self.BAND_SPACING + 10*zoom - else: - if self.selectedChr > -1: - drawAreaHeight -= 20 - else:# for all chrs - drawAreaHeight -= 30 - - #Image map - gifmap = HT.Map(name='WebQTLImageMap') - - newoffset = (xLeftOffset, xRightOffset, yTopOffset, yBottomOffset) - # Draw the alternating-color background first and get plotXScale - plotXScale = self.drawGraphBackgroundForPLINK(canvas, gifmap, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb,plinkResultDict=plinkResultDict) - - # Draw X axis - self.drawXAxisForPLINK(fd, canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) - # Draw manhattam plot - self.drawManhattanPlotForPLINK(canvas, drawAreaHeight, gifmap, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb,plinkResultDict=plinkResultDict,thresholdPvalue=self.pValue) - - return gifmap - - - def plotIntMapping(self, fd, canvas, offset= (80, 120, 20, 80), zoom = 1, startMb = None, endMb = None, showLocusForm = ""): - #calculating margins - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - xLeftOffset = int(xLeftOffset*fontZoom) - xRightOffset = int(xRightOffset*fontZoom) - yBottomOffset = int(yBottomOffset*fontZoom) - - cWidth = canvas.size[0] - cHeight = canvas.size[1] - plotWidth = cWidth - xLeftOffset - xRightOffset - plotHeight = cHeight - yTopOffset - yBottomOffset - startPixelX = xLeftOffset - endPixelX = (xLeftOffset + plotWidth) - - #Drawing Area Height - drawAreaHeight = plotHeight - if self.plotScale == 'physic' and self.selectedChr > -1: # for single chr - drawAreaHeight -= self.ENSEMBL_BAND_HEIGHT + self.UCSC_BAND_HEIGHT+ self.WEBQTL_BAND_HEIGHT + 3*self.BAND_SPACING+ 10*zoom - if self.geneChecked: - drawAreaHeight -= self.NUM_GENE_ROWS*self.EACH_GENE_HEIGHT + 3*self.BAND_SPACING + 10*zoom - else:# for all chrs - if self.selectedChr > -1: - drawAreaHeight -= 20 - else: - drawAreaHeight -= 30 - - #Image map - gifmap = HT.Map(name='WebQTLImageMap') - - newoffset = (xLeftOffset, xRightOffset, yTopOffset, yBottomOffset) - # Draw the alternating-color background first and get plotXScale - plotXScale = self.drawGraphBackground(canvas, gifmap, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) - - # Draw X axis - self.drawXAxis(fd, canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) - # Draw QTL curve - self.drawQTL(canvas, drawAreaHeight, gifmap, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) - - #draw legend - if self.multipleInterval: - self.drawMultiTraitName(fd, canvas, gifmap, showLocusForm, offset=newoffset) - elif self.legendChecked: - self.drawLegendPanel(fd, canvas, offset=newoffset) - else: - pass - - #draw position, no need to use a separate function - if fd.genotype.Mbmap: - self.drawProbeSetPosition(canvas, plotXScale, offset=newoffset) - - return gifmap - - - # functions for manhattam plot of markers - def drawManhattanPlotForPLINK(self, canvas, drawAreaHeight, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None,plinkResultDict={},thresholdPvalue=-1): - - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - # INTERCROSS = (self.genotype.type=="intercross") - INTERCROSS ='' #?????? - - ChrLengthDistList = self.ChrLengthMbList - drawRegionDistance = self.ChrLengthMbSum - GraphInterval=self.GraphInterval - pvalueHeightThresh = drawAreaHeight - 80 #ZS: Otherwise the plot gets very close to the chromosome labels - - #draw the pvalue scale - #We first determine whether or not we are using a sliding scale. - #If so, we need to compute the maximum pvalue value to determine where the max y-value should be, and call this pvalueMax. - #pvalueTop is then defined to be above the pvalueMax by enough to add one additional pvalueScale increment. - #if we are using a set-scale, then we set pvalueTop to be the user's value, and pvalueMax doesn't matter. - - # for human data we use p value instead of lrs - pValueList=[] - for key in plinkResultDict: - valueList = plinkResultDict[key] - for item in valueList: - pValue = item[-1] - pValueList.append(pValue) - - formattedPValueList=[] - for pValue in pValueList: - try: - pValue=float(pValue) - except: - pValue =1 - formattedpValue = -math.log10(pValue) - formattedPValueList.append(formattedpValue) - - #sliding scale - pvalueMax = max(formattedPValueList) - #pvalueMax =pvalueMax +1 - # no permutation result for plink func: GenReport() - pvalueMin = int(-math.log10(thresholdPvalue)) - - if pvalueMax> 100: - pvalueScale = 20.0 - elif pvalueMax > 20: - pvalueScale = 5.0 - elif pvalueMax > 7.5: - pvalueScale = 2.5 - else: - pvalueScale = 1.0 - - # the base line for x-axis is -log(thresholdPvalue) - pvalueAxisList = Plot.frange(pvalueMin, pvalueMax, pvalueScale) - #make sure the user's value appears on the y-axis - #ZS: There is no way to do this without making the position of the points not directly proportional to a given distance on the y-axis - #tempPvalueMax=round(pvalueMax) - tempPvalueMax = pvalueAxisList[len(pvalueAxisList)-1] + pvalueScale - pvalueAxisList.append(tempPvalueMax) - - #ZS: I don't understand this; the if statement will be true for any number that isn't exactly X.5. - #if abs(tempPvalueMax-pvalueMax) <0.5: - # tempPvalueMax=tempPvalueMax+1 - # pvalueAxisList.append(tempPvalueMax) - - #draw the "pvalue" string to the left of the axis - pvalueScaleFont=pid.Font(ttf="verdana", size=14*fontZoom, bold=0) - pvalueLODFont=pid.Font(ttf="verdana", size=14*zoom*1.5, bold=0) - yZero = yTopOffset + plotHeight - - #yAxis label display area - yAxis_label ='-log(P)' - canvas.drawString(yAxis_label, xLeftOffset - canvas.stringWidth("999.99", font=pvalueScaleFont) - 10*zoom, \ - yZero - 150, font=pvalueLODFont, color=pid.black, angle=90) - - for i,item in enumerate(pvalueAxisList): - ypvalue = yZero - (float(i)/float(len(pvalueAxisList) - 1)) * pvalueHeightThresh - canvas.drawLine(xLeftOffset, ypvalue, xLeftOffset - 4, ypvalue, color=self.LRS_COLOR, width=1*zoom) - scaleStr = "%2.1f" % item - #added by NL 6-24-2011:Y-axis scale display - canvas.drawString(scaleStr, xLeftOffset-4-canvas.stringWidth(scaleStr, font=pvalueScaleFont)-5, ypvalue+3, font=pvalueScaleFont, color=self.LRS_COLOR) - - ChrList=self.ChrList - startPosX = xLeftOffset - - for i, chr in enumerate(ChrList): - - if plinkResultDict.has_key(chr): - plinkresultList = plinkResultDict[chr] - - m = 0 - #add by NL 06-24-2011: for mahanttam plot - symbolFont = pid.Font(ttf="fnt_bs", size=5,bold=0) - # color for point in each chr - chrCount=len(ChrList) - chrColorDict =self.getColorForMarker(chrCount=chrCount,flag=1) - for j, item in enumerate(plinkresultList): - try : - mb=float(item[1])/1000000.0 - except: - mb=0 - - try : - pvalue =float(item[-1]) - except: - pvalue =1 - - try: - snpName = item[0] - except: - snpName='' - - formattedPvalue = -math.log10(pvalue) - - Xc = startPosX + (mb-startMb)*plotXScale - Yc = yZero - (formattedPvalue-pvalueMin)*pvalueHeightThresh/(tempPvalueMax - pvalueMin) - canvas.drawString("5", Xc-canvas.stringWidth("5",font=symbolFont)/2+1,Yc+2,color=chrColorDict[i], font=symbolFont) - m += 1 - - startPosX += (ChrLengthDistList[i]+GraphInterval)*plotXScale - - canvas.drawLine(xLeftOffset, yZero, xLeftOffset, yTopOffset, color=self.LRS_COLOR, width=1*zoom) #the blue line running up the y axis - - def drawQTL(self, canvas, drawAreaHeight, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): - - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - INTERCROSS = (self.genotype.type=="intercross") - - ChrLengthDistList = self.ChrLengthMbList - GraphInterval=self.GraphInterval - LRSHeightThresh = drawAreaHeight - AdditiveHeightThresh = drawAreaHeight/2 - DominanceHeightThresh = drawAreaHeight/2 - - #draw the LRS scale - #We first determine whether or not we are using a sliding scale. - #If so, we need to compute the maximum LRS value to determine where the max y-value should be, and call this LRSMax. - #LRSTop is then defined to be above the LRSMax by enough to add one additional LRSScale increment. - #if we are using a set-scale, then we set LRSTop to be the user's value, and LRSMax doesn't matter. - - if self.LRS_LOD == 'LOD': - lodm = self.LODFACTOR - else: - lodm = 1.0 - - if self.lrsMax <= 0: #sliding scale - LRSMax = max(map(max, self.qtlresults)).lrs - #genotype trait will give infinite LRS - LRSMax = min(LRSMax, webqtlConfig.MAXLRS) - LRSMax = max(self.significance, LRSMax) - else: - LRSMax = self.lrsMax*lodm - - if LRSMax/lodm > 100: - LRSScale = 20.0 - elif LRSMax/lodm > 20: - LRSScale = 5.0 - elif LRSMax/lodm > 7.5: - LRSScale = 2.5 - else: - LRSScale = 1.0 - - LRSAxisList = Plot.frange(LRSScale, LRSMax/lodm, LRSScale) - #make sure the user's value appears on the y-axis - #update by NL 6-21-2011: round the LOD value to 100 when LRSMax is equal to 460 - LRSAxisList.append(round(LRSMax/lodm)) - - #draw the "LRS" or "LOD" string to the left of the axis - LRSScaleFont=pid.Font(ttf="verdana", size=14*fontZoom, bold=0) - LRSLODFont=pid.Font(ttf="verdana", size=14*zoom*1.5, bold=0) - yZero = yTopOffset + plotHeight - - #yAxis label display area - canvas.drawString(self.LRS_LOD, xLeftOffset - canvas.stringWidth("999.99", font=LRSScaleFont) - 10*zoom, \ - yZero - 150, font=LRSLODFont, color=pid.black, angle=90) - - for item in LRSAxisList: - yLRS = yZero - (item*lodm/LRSMax) * LRSHeightThresh - canvas.drawLine(xLeftOffset, yLRS, xLeftOffset - 4, yLRS, color=self.LRS_COLOR, width=1*zoom) - scaleStr = "%2.1f" % item - #added by NL 6-24-2011:Y-axis scale display - canvas.drawString(scaleStr, xLeftOffset-4-canvas.stringWidth(scaleStr, font=LRSScaleFont)-5, yLRS+3, font=LRSScaleFont, color=self.LRS_COLOR) - - - #"Significant" and "Suggestive" Drawing Routine - # ======= Draw the thick lines for "Significant" and "Suggestive" ===== (crowell: I tried to make the SNPs draw over these lines, but piddle wouldn't have it...) - if self.permChecked and not self.multipleInterval: - significantY = yZero - self.significance*LRSHeightThresh/LRSMax - suggestiveY = yZero - self.suggestive*LRSHeightThresh/LRSMax - - - startPosX = xLeftOffset - for i, _chr in enumerate(self.genotype): - rightEdge = int(startPosX + self.ChrLengthDistList[i]*plotXScale - self.SUGGESTIVE_WIDTH/1.5) - #added by NL 6-24-2011:draw suggestive line (grey one) - canvas.drawLine(startPosX+self.SUGGESTIVE_WIDTH/1.5, suggestiveY, rightEdge, suggestiveY, color=self.SUGGESTIVE_COLOR, - width=self.SUGGESTIVE_WIDTH*zoom, clipX=(xLeftOffset, xLeftOffset + plotWidth-2)) - #added by NL 6-24-2011:draw significant line (pink one) - canvas.drawLine(startPosX+self.SUGGESTIVE_WIDTH/1.5, significantY, rightEdge, significantY, color=self.SIGNIFICANT_COLOR, - width=self.SIGNIFICANT_WIDTH*zoom, clipX=(xLeftOffset, xLeftOffset + plotWidth-2)) - sugg_coords = "%d, %d, %d, %d" % (startPosX, suggestiveY-2, rightEdge + 2*zoom, suggestiveY+2) - sig_coords = "%d, %d, %d, %d" % (startPosX, significantY-2, rightEdge + 2*zoom, significantY+2) - if self.LRS_LOD == 'LRS': - sugg_title = "Suggestive LRS = %0.2f" % self.suggestive - sig_title = "Significant LRS = %0.2f" % self.significance - else: - sugg_title = "Suggestive LOD = %0.2f" % (self.suggestive/4.61) - sig_title = "Significant LOD = %0.2f" % (self.significance/4.61) - Areas1 = HT.Area(shape='rect',coords=sugg_coords,title=sugg_title) - Areas2 = HT.Area(shape='rect',coords=sig_coords,title=sig_title) - gifmap.areas.append(Areas1) - gifmap.areas.append(Areas2) - - startPosX += (self.ChrLengthDistList[i]+self.GraphInterval)*plotXScale - - - if self.multipleInterval: - lrsEdgeWidth = 1 - else: - additiveMax = max(map(lambda X : abs(X.additive), self.qtlresults[0])) - if INTERCROSS: - dominanceMax = max(map(lambda X : abs(X.dominance), self.qtlresults[0])) - else: - dominanceMax = -1 - lrsEdgeWidth = 2 - for i, qtlresult in enumerate(self.qtlresults): - m = 0 - startPosX = xLeftOffset - thisLRSColor = self.colorCollection[i] - - #add by NL 06-24-2011: for mahanttam plot - symbolFont = pid.Font(ttf="fnt_bs", size=5,bold=0) - - for j, _chr in enumerate(self.genotype): - chrCount=len(self.genotype) - chrColorDict =self.getColorForMarker(chrCount=chrCount,flag=1) - LRSCoordXY = [] - AdditiveCoordXY = [] - DominanceCoordXY = [] - for k, _locus in enumerate(_chr): - if self.plotScale == 'physic': - Xc = startPosX + (_locus.Mb-startMb)*plotXScale - else: - Xc = startPosX + (_locus.cM-_chr[0].cM)*plotXScale - # updated by NL 06-18-2011: - # fix the over limit LRS graph issue since genotype trait may give infinite LRS; - # for any lrs is over than 460(LRS max in this system), it will be reset to 460 - if qtlresult[m].lrs> 460 or qtlresult[m].lrs=='inf': - Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRSMax - else: - Yc = yZero - qtlresult[m].lrs*LRSHeightThresh/LRSMax - - LRSCoordXY.append((Xc, Yc)) - #add by NL 06-24-2011: for mahanttam plot - #self.significance/4.61 consider chr and LOD - # significantY = yZero - self.significance*LRSHeightThresh/LRSMax - # if Yc >significantY: - # canvas.drawString(":", Xc-canvas.stringWidth(":",font=symbolFont)/2+1,Yc+2,color=pid.black, font=symbolFont) - # else: - # canvas.drawString(":", Xc-canvas.stringWidth(":",font=symbolFont)/2+1,Yc+2,color=pid.black, font=symbolFont) - - # add by NL 06-27-2011: eliminate imputed value when locus name is equal to '-' - if (qtlresult[m].locus.name) and (qtlresult[m].locus.name!=' - '): - canvas.drawString("5", Xc-canvas.stringWidth("5",font=symbolFont)/2+1,Yc+2,color=chrColorDict[j], font=symbolFont) - - if not self.multipleInterval and self.additiveChecked: - Yc = yZero - qtlresult[m].additive*AdditiveHeightThresh/additiveMax - AdditiveCoordXY.append((Xc, Yc)) - if not self.multipleInterval and INTERCROSS and self.additiveChecked: - Yc = yZero - qtlresult[m].dominance*DominanceHeightThresh/dominanceMax - DominanceCoordXY.append((Xc, Yc)) - m += 1 - - startPosX += (ChrLengthDistList[j]+GraphInterval)*plotXScale - - - ###draw additive scale - if not self.multipleInterval and self.additiveChecked: - additiveScaleFont=pid.Font(ttf="verdana",size=12*fontZoom,bold=0) - additiveScale = Plot.detScaleOld(0,additiveMax) - additiveStep = (additiveScale[1]-additiveScale[0])/additiveScale[2] - additiveAxisList = Plot.frange(0, additiveScale[1], additiveStep) - maxAdd = additiveScale[1] - addPlotScale = AdditiveHeightThresh/additiveMax - - additiveAxisList.append(additiveScale[1]) - for item in additiveAxisList: - additiveY = yZero - item*addPlotScale - canvas.drawLine(xLeftOffset + plotWidth,additiveY,xLeftOffset+4+ plotWidth,additiveY,color=self.ADDITIVE_COLOR_POSITIVE, width=1*zoom) - scaleStr = "%2.3f" % item - canvas.drawString(scaleStr,xLeftOffset + plotWidth +6,additiveY+5,font=additiveScaleFont,color=self.ADDITIVE_COLOR_POSITIVE) - - canvas.drawLine(xLeftOffset+plotWidth,additiveY,xLeftOffset+plotWidth,yZero,color=self.ADDITIVE_COLOR_POSITIVE, width=1*zoom) - - canvas.drawLine(xLeftOffset, yZero, xLeftOffset, yTopOffset, color=self.LRS_COLOR, width=1*zoom) #the blue line running up the y axis - - def drawGraphBackgroundForPLINK(self, canvas, gifmap, offset= (80, 120, 80, 50), zoom = 1, startMb = None, endMb = None,plinkResultDict={} ): - - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - #calculate plot scale - #XZ: all of these global variables should be passed from function signiture - ChrLengthDistList = self.ChrLengthMbList - drawRegionDistance = self.ChrLengthMbSum - GraphInterval=self.GraphInterval - ChrList =self.ChrList - - #multiple chromosome view - plotXScale = plotWidth / ((len(ChrList)-1)*GraphInterval + drawRegionDistance) - - startPosX = xLeftOffset - chrLabelFont=pid.Font(ttf="verdana",size=24*fontZoom,bold=0) - - for i, _chr in enumerate(ChrList): - - if (i % 2 == 0): - theBackColor = self.GRAPH_BACK_DARK_COLOR - else: - theBackColor = self.GRAPH_BACK_LIGHT_COLOR - # NL:resize chr width for drawing - if float(ChrLengthDistList[i])<90: - ChrLengthDistList[i]=90 - #draw the shaded boxes and the sig/sug thick lines - canvas.drawRect(startPosX, yTopOffset, startPosX + ChrLengthDistList[i]*plotXScale, \ - yTopOffset+plotHeight, edgeColor=pid.gainsboro,fillColor=theBackColor) - - chrNameWidth = canvas.stringWidth(_chr, font=chrLabelFont) - chrStartPix = startPosX + (ChrLengthDistList[i]*plotXScale -chrNameWidth)/2 - chrEndPix = startPosX + (ChrLengthDistList[i]*plotXScale +chrNameWidth)/2 - - canvas.drawString(_chr, chrStartPix, yTopOffset +20,font = chrLabelFont,color=pid.dimgray) - COORDS = "%d,%d,%d,%d" %(chrStartPix, yTopOffset, chrEndPix,yTopOffset +20) - - #add by NL 09-03-2010 - HREF = "javascript:changeView(%d,%s);" % (i,ChrLengthDistList) - Areas = HT.Area(shape='rect',coords=COORDS,href=HREF) - gifmap.areas.append(Areas) - startPosX += (ChrLengthDistList[i]+GraphInterval)*plotXScale - - return plotXScale - - - def drawGraphBackground(self, canvas, gifmap, offset= (80, 120, 80, 50), zoom = 1, startMb = None, endMb = None): - ##conditions - ##multiple Chromosome view - ##single Chromosome Physical - ##single Chromosome Genetic - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - #calculate plot scale - if self.plotScale != 'physic': - self.ChrLengthDistList = self.ChrLengthCMList - drawRegionDistance = self.ChrLengthCMSum - else: - self.ChrLengthDistList = self.ChrLengthMbList - drawRegionDistance = self.ChrLengthMbSum - - if self.selectedChr > -1: #single chromosome view - spacingAmt = plotWidth/13.5 - i = 0 - for startPix in Plot.frange(xLeftOffset, xLeftOffset+plotWidth, spacingAmt): - if (i % 2 == 0): - theBackColor = self.GRAPH_BACK_DARK_COLOR - else: - theBackColor = self.GRAPH_BACK_LIGHT_COLOR - i += 1 - canvas.drawRect(startPix, yTopOffset, min(startPix+spacingAmt, xLeftOffset+plotWidth), \ - yTopOffset+plotHeight, edgeColor=theBackColor, fillColor=theBackColor) - - drawRegionDistance = self.ChrLengthDistList[self.selectedChr] - self.ChrLengthDistList = [drawRegionDistance] - if self.plotScale == 'physic': - plotXScale = plotWidth / (endMb-startMb) - else: - plotXScale = plotWidth / drawRegionDistance - - else: #multiple chromosome view - plotXScale = plotWidth / ((len(self.genotype)-1)*self.GraphInterval + drawRegionDistance) - - startPosX = xLeftOffset - chrLabelFont=pid.Font(ttf="verdana",size=24*fontZoom,bold=0) - - for i, _chr in enumerate(self.genotype): - - if (i % 2 == 0): - theBackColor = self.GRAPH_BACK_DARK_COLOR - else: - theBackColor = self.GRAPH_BACK_LIGHT_COLOR - - #draw the shaded boxes and the sig/sug thick lines - canvas.drawRect(startPosX, yTopOffset, startPosX + self.ChrLengthDistList[i]*plotXScale, \ - yTopOffset+plotHeight, edgeColor=pid.gainsboro,fillColor=theBackColor) - - chrNameWidth = canvas.stringWidth(_chr.name, font=chrLabelFont) - chrStartPix = startPosX + (self.ChrLengthDistList[i]*plotXScale -chrNameWidth)/2 - chrEndPix = startPosX + (self.ChrLengthDistList[i]*plotXScale +chrNameWidth)/2 - - canvas.drawString(_chr.name, chrStartPix, yTopOffset +20,font = chrLabelFont,color=pid.dimgray) - COORDS = "%d,%d,%d,%d" %(chrStartPix, yTopOffset, chrEndPix,yTopOffset +20) - - #add by NL 09-03-2010 - HREF = "javascript:changeView(%d,%s);" % (i,self.ChrLengthMbList) - Areas = HT.Area(shape='rect',coords=COORDS,href=HREF) - gifmap.areas.append(Areas) - startPosX += (self.ChrLengthDistList[i]+self.GraphInterval)*plotXScale - - return plotXScale - - # XZ: The only difference of function drawXAxisForPLINK and function drawXAxis are the function name and the self.plotScale condition. - def drawXAxisForPLINK(self, fd, canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - yZero = canvas.size[1] - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - #Parameters - ChrLengthDistList = self.ChrLengthMbList - GraphInterval=self.GraphInterval - - NUM_MINOR_TICKS = 5 # Number of minor ticks between major ticks - X_MAJOR_TICK_THICKNESS = 2 - X_MINOR_TICK_THICKNESS = 1 - X_AXIS_THICKNESS = 1*zoom - - # ======= Alex: Draw the X-axis labels (megabase location) - MBLabelFont = pid.Font(ttf="verdana", size=12*fontZoom, bold=0) - xMajorTickHeight = 15 # How high the tick extends below the axis - xMinorTickHeight = 5*zoom - xAxisTickMarkColor = pid.black - xAxisLabelColor = pid.black - fontHeight = 12*fontZoom # How tall the font that we're using is - spacingFromLabelToAxis = 20 - spacingFromLineToLabel = 3 - - if self.plotScale == 'physic': - strYLoc = yZero + spacingFromLabelToAxis + canvas.fontHeight(MBLabelFont) - ###Physical single chromosome view - if self.selectedChr > -1: - graphMbWidth = endMb - startMb - XScale = Plot.detScale(startMb, endMb) - XStart, XEnd, XStep = XScale - if XStep < 8: - XStep *= 2 - spacingAmtX = spacingAmt = (XEnd-XStart)/XStep - - j = 0 - while abs(spacingAmtX -int(spacingAmtX)) >= spacingAmtX/100.0 and j < 6: - j += 1 - spacingAmtX *= 10 - - formatStr = '%%2.%df' % j - - for counter, _Mb in enumerate(Plot.frange(XStart, XEnd, spacingAmt / NUM_MINOR_TICKS)): - if _Mb < startMb or _Mb > endMb: - continue - Xc = xLeftOffset + plotXScale*(_Mb - startMb) - if counter % NUM_MINOR_TICKS == 0: # Draw a MAJOR mark, not just a minor tick mark - canvas.drawLine(Xc, yZero, Xc, yZero+xMajorTickHeight, color=xAxisTickMarkColor, width=X_MAJOR_TICK_THICKNESS) # Draw the MAJOR tick mark - labelStr = str(formatStr % _Mb) # What Mbase location to put on the label - strWidth = canvas.stringWidth(labelStr, font=MBLabelFont) - drawStringXc = (Xc - (strWidth / 2.0)) - canvas.drawString(labelStr, drawStringXc, strYLoc, font=MBLabelFont, color=xAxisLabelColor, angle=0) - else: - canvas.drawLine(Xc, yZero, Xc, yZero+xMinorTickHeight, color=xAxisTickMarkColor, width=X_MINOR_TICK_THICKNESS) # Draw the MINOR tick mark - # end else - - ###Physical genome wide view - else: - distScale = 0 - startPosX = xLeftOffset - for i, distLen in enumerate(ChrLengthDistList): - if distScale == 0: #universal scale in whole genome mapping - if distLen > 75: - distScale = 25 - elif distLen > 30: - distScale = 10 - else: - distScale = 5 - for tickdists in range(distScale, ceil(distLen), distScale): - canvas.drawLine(startPosX + tickdists*plotXScale, yZero, startPosX + tickdists*plotXScale, yZero + 7, color=pid.black, width=1*zoom) - canvas.drawString(str(tickdists), startPosX+tickdists*plotXScale, yZero + 10*zoom, color=pid.black, font=MBLabelFont, angle=270) - startPosX += (ChrLengthDistList[i]+GraphInterval)*plotXScale - - megabaseLabelFont = pid.Font(ttf="verdana", size=14*zoom*1.5, bold=0) - canvas.drawString("Megabases", xLeftOffset + (plotWidth -canvas.stringWidth("Megabases", font=megabaseLabelFont))/2, - strYLoc + canvas.fontHeight(MBLabelFont) + 5*zoom, font=megabaseLabelFont, color=pid.black) - pass - - canvas.drawLine(xLeftOffset, yZero, xLeftOffset+plotWidth, yZero, color=pid.black, width=X_AXIS_THICKNESS) # Draw the X axis itself - - def drawXAxis(self, fd, canvas, drawAreaHeight, gifmap, plotXScale, showLocusForm, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - yZero = canvas.size[1] - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - #Parameters - NUM_MINOR_TICKS = 5 # Number of minor ticks between major ticks - X_MAJOR_TICK_THICKNESS = 2 - X_MINOR_TICK_THICKNESS = 1 - X_AXIS_THICKNESS = 1*zoom - - # ======= Alex: Draw the X-axis labels (megabase location) - MBLabelFont = pid.Font(ttf="verdana", size=12*fontZoom, bold=0) - xMajorTickHeight = 15 # How high the tick extends below the axis - xMinorTickHeight = 5*zoom - xAxisTickMarkColor = pid.black - xAxisLabelColor = pid.black - fontHeight = 12*fontZoom # How tall the font that we're using is - spacingFromLabelToAxis = 20 - spacingFromLineToLabel = 3 - - if self.plotScale == 'physic': - strYLoc = yZero + spacingFromLabelToAxis + canvas.fontHeight(MBLabelFont) - ###Physical single chromosome view - if self.selectedChr > -1: - graphMbWidth = endMb - startMb - XScale = Plot.detScale(startMb, endMb) - XStart, XEnd, XStep = XScale - if XStep < 8: - XStep *= 2 - spacingAmtX = spacingAmt = (XEnd-XStart)/XStep - - j = 0 - while abs(spacingAmtX -int(spacingAmtX)) >= spacingAmtX/100.0 and j < 6: - j += 1 - spacingAmtX *= 10 - - formatStr = '%%2.%df' % j - - for counter, _Mb in enumerate(Plot.frange(XStart, XEnd, spacingAmt / NUM_MINOR_TICKS)): - if _Mb < startMb or _Mb > endMb: - continue - Xc = xLeftOffset + plotXScale*(_Mb - startMb) - if counter % NUM_MINOR_TICKS == 0: # Draw a MAJOR mark, not just a minor tick mark - canvas.drawLine(Xc, yZero, Xc, yZero+xMajorTickHeight, color=xAxisTickMarkColor, width=X_MAJOR_TICK_THICKNESS) # Draw the MAJOR tick mark - labelStr = str(formatStr % _Mb) # What Mbase location to put on the label - strWidth = canvas.stringWidth(labelStr, font=MBLabelFont) - drawStringXc = (Xc - (strWidth / 2.0)) - canvas.drawString(labelStr, drawStringXc, strYLoc, font=MBLabelFont, color=xAxisLabelColor, angle=0) - else: - canvas.drawLine(Xc, yZero, Xc, yZero+xMinorTickHeight, color=xAxisTickMarkColor, width=X_MINOR_TICK_THICKNESS) # Draw the MINOR tick mark - # end else - - ###Physical genome wide view - else: - distScale = 0 - startPosX = xLeftOffset - for i, distLen in enumerate(self.ChrLengthDistList): - if distScale == 0: #universal scale in whole genome mapping - if distLen > 75: - distScale = 25 - elif distLen > 30: - distScale = 10 - else: - distScale = 5 - for tickdists in range(distScale, ceil(distLen), distScale): - canvas.drawLine(startPosX + tickdists*plotXScale, yZero, startPosX + tickdists*plotXScale, yZero + 7, color=pid.black, width=1*zoom) - canvas.drawString(str(tickdists), startPosX+tickdists*plotXScale, yZero + 10*zoom, color=pid.black, font=MBLabelFont, angle=270) - startPosX += (self.ChrLengthDistList[i]+self.GraphInterval)*plotXScale - - megabaseLabelFont = pid.Font(ttf="verdana", size=14*zoom*1.5, bold=0) - canvas.drawString("Megabases", xLeftOffset + (plotWidth -canvas.stringWidth("Megabases", font=megabaseLabelFont))/2, - strYLoc + canvas.fontHeight(MBLabelFont) + 5*zoom, font=megabaseLabelFont, color=pid.black) - pass - else: - ChrAInfo = [] - preLpos = -1 - distinctCount = 0.0 - if len(self.genotype) > 1: - for i, _chr in enumerate(self.genotype): - thisChr = [] - Locus0CM = _chr[0].cM - nLoci = len(_chr) - if nLoci <= 8: - for _locus in _chr: - if _locus.name != ' - ': - if _locus.cM != preLpos: - distinctCount += 1 - preLpos = _locus.cM - thisChr.append([_locus.name, _locus.cM-Locus0CM]) - else: - for j in (0, nLoci/4, nLoci/2, nLoci*3/4, -1): - while _chr[j].name == ' - ': - j += 1 - if _chr[j].cM != preLpos: - distinctCount += 1 - preLpos = _chr[j].cM - thisChr.append([_chr[j].name, _chr[j].cM-Locus0CM]) - ChrAInfo.append(thisChr) - else: - for i, _chr in enumerate(self.genotype): - thisChr = [] - Locus0CM = _chr[0].cM - for _locus in _chr: - if _locus.name != ' - ': - if _locus.cM != preLpos: - distinctCount += 1 - preLpos = _locus.cM - thisChr.append([_locus.name, _locus.cM-Locus0CM]) - ChrAInfo.append(thisChr) - - stepA = (plotWidth+0.0)/distinctCount - - LRectWidth = 10 - LRectHeight = 3 - offsetA = -stepA - lineColor = pid.lightblue - startPosX = xLeftOffset - for j, ChrInfo in enumerate(ChrAInfo): - preLpos = -1 - for i, item in enumerate(ChrInfo): - Lname,Lpos = item - if Lpos != preLpos: - offsetA += stepA - differ = 1 - else: - differ = 0 - preLpos = Lpos - Lpos *= plotXScale - if self.selectedChr > -1: - Zorder = i % 5 - else: - Zorder = 0 - if differ: - canvas.drawLine(startPosX+Lpos,yZero,xLeftOffset+offsetA,\ - yZero+25, color=lineColor) - canvas.drawLine(xLeftOffset+offsetA,yZero+25,xLeftOffset+offsetA,\ - yZero+40+Zorder*(LRectWidth+3),color=lineColor) - rectColor = pid.orange - else: - canvas.drawLine(xLeftOffset+offsetA, yZero+40+Zorder*(LRectWidth+3)-3,\ - xLeftOffset+offsetA, yZero+40+Zorder*(LRectWidth+3),color=lineColor) - rectColor = pid.deeppink - canvas.drawRect(xLeftOffset+offsetA, yZero+40+Zorder*(LRectWidth+3),\ - xLeftOffset+offsetA-LRectHeight,yZero+40+Zorder*(LRectWidth+3)+LRectWidth,\ - edgeColor=rectColor,fillColor=rectColor,edgeWidth = 0) - COORDS="%d,%d,%d,%d"%(xLeftOffset+offsetA-LRectHeight, yZero+40+Zorder*(LRectWidth+3),\ - xLeftOffset+offsetA,yZero+40+Zorder*(LRectWidth+3)+LRectWidth) - HREF="javascript:showDatabase3('%s','%s','%s','');" % (showLocusForm,fd.RISet+"Geno", Lname) - Areas=HT.Area(shape='rect',coords=COORDS,href=HREF, title="Locus : " + Lname) - gifmap.areas.append(Areas) - ##piddle bug - if j == 0: - canvas.drawLine(startPosX,yZero,startPosX,yZero+40, color=lineColor) - startPosX += (self.ChrLengthDistList[j]+self.GraphInterval)*plotXScale - - canvas.drawLine(xLeftOffset, yZero, xLeftOffset+plotWidth, yZero, color=pid.black, width=X_AXIS_THICKNESS) # Draw the X axis itself - - def getColorForMarker(self, chrCount,flag):# no change is needed - chrColorDict={} - for i in range(chrCount): - if flag==1: # display blue and lightblue intercross - chrColorDict[i]=pid.black - elif flag==0: - if (i%2==0): - chrColorDict[i]=pid.blue - else: - chrColorDict[i]=pid.lightblue - else:#display different color for different chr - if i in [0,8,16]: - chrColorDict[i]=pid.black - elif i in [1,9,17]: - chrColorDict[i]=pid.red - elif i in [2,10,18]: - chrColorDict[i]=pid.lightgreen - elif i in [3,11,19]: - chrColorDict[i]=pid.blue - elif i in [4,12]: - chrColorDict[i]=pid.lightblue - elif i in [5,13]: - chrColorDict[i]=pid.hotpink - elif i in [6,14]: - chrColorDict[i]=pid.gold - elif i in [7,15]: - chrColorDict[i]=pid.grey - - return chrColorDict - - - def drawProbeSetPosition(self, canvas, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): - if len(self.traitList) != 1: - return - - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset - plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - yZero = canvas.size[1] - yBottomOffset - fontZoom = zoom - if zoom == 2: - fontZoom = 1.5 - - try: - Chr = self.traitList[0].chr # self.traitListChr =self.traitList[0].chr=_vals need to change to chrList and mbList - Mb = self.traitList[0].mb # self.traitListMb =self.traitList[0].mb=_vals - except: - return - - if self.plotScale == 'physic': - if self.selectedChr > -1: - if self.genotype[0].name != Chr or Mb < self.startMb or Mb > self.endMb: - return - else: - locPixel = xLeftOffset + (Mb-self.startMb)*plotXScale - else: - locPixel = xLeftOffset - for i, _chr in enumerate(self.genotype): - if _chr.name != Chr: - locPixel += (self.ChrLengthDistList[i] + self.GraphInterval)*plotXScale - else: - locPixel += Mb*plotXScale - break - else: - if self.selectedChr > -1: - if self.genotype[0].name != Chr: - return - else: - for i, _locus in enumerate(self.genotype[0]): - #the trait's position is on the left of the first genotype - if i==0 and _locus.Mb >= Mb: - locPixel=-1 - break - - #the trait's position is between two traits - if i > 0 and self.genotype[0][i-1].Mb < Mb and _locus.Mb >= Mb: - locPixel = xLeftOffset + plotXScale*(self.genotype[0][i-1].cM+(_locus.cM-self.genotype[0][i-1].cM)*(Mb -self.genotype[0][i-1].Mb)/(_locus.Mb-self.genotype[0][i-1].Mb)) - break - - #the trait's position is on the right of the last genotype - if i==len(self.genotype[0]) and Mb>=_locus.Mb: - locPixel = -1 - else: - locPixel = xLeftOffset - for i, _chr in enumerate(self.genotype): - if _chr.name != Chr: - locPixel += (self.ChrLengthDistList[i] + self.GraphInterval)*plotXScale - else: - locPixel += (Mb*(_chr[-1].cM-_chr[0].cM)/self.ChrLengthCMList[i])*plotXScale - break - if locPixel >= 0: - traitPixel = ((locPixel, yZero), (locPixel-6, yZero+12), (locPixel+6, yZero+12)) - canvas.drawPolygon(traitPixel, edgeColor=pid.black, fillColor=self.TRANSCRIPT_LOCATION_COLOR, closed=1) - - if self.legendChecked: - startPosY = 15 - nCol = 2 - smallLabelFont = pid.Font(ttf="trebuc", size=12, bold=1) - leftOffset = xLeftOffset+(nCol-1)*200 - canvas.drawPolygon(((leftOffset+6, startPosY-6), (leftOffset, startPosY+6), (leftOffset+12, startPosY+6)), edgeColor=pid.black, fillColor=self.TRANSCRIPT_LOCATION_COLOR, closed=1) - canvas.drawString("Sequence Site", (leftOffset+15), (startPosY+5), smallLabelFont, self.TOP_RIGHT_INFO_COLOR) - - # build dict based on plink result, key is chr, value is list of [snp,BP,pValue] - def getPlinkResultDict(self,outputFileName='',thresholdPvalue=-1,ChrOrderIdNameDict={}): - - ChrList =self.ChrList - plinkResultDict={} - - plinkResultfp = open("%s%s.qassoc"% (webqtlConfig.TMPDIR, outputFileName), "rb") - - headerLine=plinkResultfp.readline()# read header line - line = plinkResultfp.readline() - - valueList=[] # initialize value list, this list will include snp, bp and pvalue info - pValueList=[] - count=0 - - while line: - #convert line from str to list - lineList=self.buildLineList(line=line) - - # only keep the records whose chromosome name is in db - if ChrOrderIdNameDict.has_key(int(lineList[0])) and lineList[-1] and lineList[-1].strip()!='NA': - - chrName=ChrOrderIdNameDict[int(lineList[0])] - snp = lineList[1] - BP = lineList[2] - pValue = float(lineList[-1]) - pValueList.append(pValue) - - if plinkResultDict.has_key(chrName): - valueList=plinkResultDict[chrName] - - # pvalue range is [0,1] - if thresholdPvalue >=0 and thresholdPvalue<=1: - if pValue < thresholdPvalue: - valueList.append((snp,BP,pValue)) - count+=1 - - plinkResultDict[chrName]=valueList - valueList=[] - else: - if thresholdPvalue>=0 and thresholdPvalue<=1: - if pValue < thresholdPvalue: - valueList.append((snp,BP,pValue)) - count+=1 - - if valueList: - plinkResultDict[chrName]=valueList - - valueList=[] - - - line =plinkResultfp.readline() - else: - line=plinkResultfp.readline() - - if pValueList: - minPvalue= min(pValueList) - else: - minPvalue=0 - - return count,minPvalue,plinkResultDict - - - ###################################################### - # input: line: str,one line read from file - # function: convert line from str to list; - # output: lineList list - ####################################################### - def buildLineList(self,line=None): - - lineList = string.split(string.strip(line),' ')# irregular number of whitespaces between columns - lineList =[ item for item in lineList if item <>''] - lineList = map(string.strip, lineList) - - return lineList - - #added by NL: automatically generate pheno txt file for PLINK based on strainList passed from dataEditing page - def genPhenoTxtFileForPlink(self,phenoFileName='', RISetName='', probesetName='', valueDict={}): - pedFileStrainList=self.getStrainNameFromPedFile(RISetName=RISetName) - outputFile = open("%s%s.txt"%(webqtlConfig.TMPDIR,phenoFileName),"wb") - headerLine = 'FID\tIID\t%s\n'%probesetName - outputFile.write(headerLine) - - newValueList=[] - - #if valueDict does not include some strain, value will be set to -9999 as missing value - for item in pedFileStrainList: - try: - value=valueDict[item] - value=str(value).replace('value=','') - value=value.strip() - except: - value=-9999 - - newValueList.append(value) - - - newLine='' - for i, strain in enumerate(pedFileStrainList): - j=i+1 - value=newValueList[i] - newLine+='%s\t%s\t%s\n'%(strain, strain, value) - - if j%1000==0: - outputFile.write(newLine) - newLine='' - - if newLine: - outputFile.write(newLine) - - outputFile.close() - - # get strain name from ped file in order - def getStrainNameFromPedFile(self, RISetName=''): - pedFileopen= open("%splink/%s.ped"%(webqtlConfig.HTMLPATH, RISetName),"r") - line =pedFileopen.readline() - strainNameList=[] - - while line: - lineList=string.split(string.strip(line),'\t') - lineList=map(string.strip,lineList) - - strainName=lineList[0] - strainNameList.append(strainName) - - line =pedFileopen.readline() - - return strainNameList - - ################################################################# - ## Generate Chr list, Chr OrderId and Retrieve Length Information - ################################################################# - #def getChrNameOrderIdLength(self,RISet=''): - # - # try: - # query = """ - # Select - # Chr_Length.Name,Chr_Length.OrderId,Length from Chr_Length, InbredSet - # where - # Chr_Length.SpeciesId = InbredSet.SpeciesId AND - # InbredSet.Name = '%s' - # Order by OrderId - # """ % (RISet) - # self.cursor.execute(query) - # - # results =self.cursor.fetchall() - # ChrList=[] - # ChrLengthMbList=[] - # ChrNameOrderIdDict={} - # ChrOrderIdNameDict={} - # - # for item in results: - # ChrList.append(item[0]) - # ChrNameOrderIdDict[item[0]]=item[1] # key is chr name, value is orderId - # ChrOrderIdNameDict[item[1]]=item[0] # key is orderId, value is chr name - # ChrLengthMbList.append(item[2]) - # - # except: - # ChrList=[] - # ChrNameOrderIdDict={} - # ChrLengthMbList=[] - # - # return ChrList,ChrNameOrderIdDict,ChrOrderIdNameDict,ChrLengthMbList -
\ No newline at end of file diff --git a/wqflask/wqflask/my_pylmm/pyLMM/lmm.py b/wqflask/wqflask/my_pylmm/pyLMM/lmm.py index 6c101ba1..ffc6283c 100644 --- a/wqflask/wqflask/my_pylmm/pyLMM/lmm.py +++ b/wqflask/wqflask/my_pylmm/pyLMM/lmm.py @@ -23,12 +23,47 @@ import numpy as np from scipy import linalg from scipy import optimize from scipy import stats -import pdb from pprint import pformat as pf +from utility.benchmark import Bench + #np.seterr('raise') +def run(pheno_vector, + genotype_matrix, + restricted_max_likelihood=True, + refit=False, + temp_data=None): + """Takes the phenotype vector and genotype matrix and returns a set of p-values and t-statistics + + restricted_max_likelihood -- whether to use restricted max likelihood; True or False + refit -- whether to refit the variance component for each marker + temp_data -- TempData object that stores the progress for each major step of the + calculations ("calculate_kinship" and "GWAS" take the majority of time) + + """ + + with Bench("Calculate Kinship"): + kinship_matrix = calculate_kinship(genotype_matrix, temp_data) + + with Bench("Create LMM object"): + lmm_ob = LMM(pheno_vector, kinship_matrix) + + with Bench("LMM_ob fitting"): + lmm_ob.fit() + + with Bench("Doing GWAS"): + t_stats, p_values = GWAS(pheno_vector, + genotype_matrix, + kinship_matrix, + restricted_max_likelihood=True, + refit=False, + temp_data=temp_data) + Bench().report() + return t_stats, p_values + + def matrixMult(A,B): #return np.dot(A,B) @@ -121,7 +156,7 @@ def GWAS(pheno_vector, """ if kinship_eigen_vals == None: kinship_eigen_vals = [] - if kinship_eigen_vectors= == None: + if kinship_eigen_vectors == None: kinship_eigen_vectors = [] n = genotype_matrix.shape[0] @@ -153,7 +188,7 @@ def GWAS(pheno_vector, t_statistics = [] for counter in range(m): - x = genotype_matrix[:,counter].reshape((n,1)) + x = genotype_matrix[:,counter].reshape((n, 1)) v = np.isnan(x).reshape((-1,)) if v.sum(): keep = True - v @@ -173,7 +208,7 @@ def GWAS(pheno_vector, lmm_ob_2.fit(X=xs) else: lmm_ob_2.fit() - ts,ps = lmm_ob_2.association(xs, REML=restricted_max_likelihood) + ts, ps = lmm_ob_2.association(xs, REML=restricted_max_likelihood) else: if x.var() == 0: p_values.append(np.nan) @@ -182,7 +217,7 @@ def GWAS(pheno_vector, if refit: lmm_ob.fit(X=x) - ts,ps = lmm_ob.association(x,REML=restricted_max_likelihood) + ts, ps = lmm_ob.association(x, REML=restricted_max_likelihood) percent_complete = 45 + int(round((counter/m)*55)) print("Percent complete: ", percent_complete) @@ -191,7 +226,7 @@ def GWAS(pheno_vector, p_values.append(ps) t_statistics.append(ts) - return t_statistics,p_values + return t_statistics, p_values class LMM: diff --git a/wqflask/wqflask/templates/marker_regression.html b/wqflask/wqflask/templates/marker_regression.html index f8be464e..fc068d21 100644 --- a/wqflask/wqflask/templates/marker_regression.html +++ b/wqflask/wqflask/templates/marker_regression.html @@ -43,7 +43,7 @@ </tr> </thead> <tbody> - {% for marker in pure_qtl_results %} + {% for marker in qtl_results %} <tr> <td>{{loop.index}}</td> <td>{{marker.lod_score}}</td> @@ -80,15 +80,6 @@ <script type="text/javascript" charset="utf-8"> - //$(document).ready( function () { - // $('#qtl_results').dataTable( { - // "sDom": 'T<"clear">lfrtip', - // "oTableTools": { - // "sSwfPath": "/static/packages/TableTools/media/swf/copy_csv_xls_pdf.swf" - // }, - // "iDisplayLength": 50 - // } ); - //} ); $(document).ready( function () { $('#qtl_results').dataTable( { //"sDom": "<<'span3'l><'span3'T><'span4'f>'row-fluid'r>t<'row-fluid'<'span6'i><'span6'p>>", @@ -109,17 +100,5 @@ "bLengthChange": true } ); }); - - //$(document).ready(function() { - // $.extend( $.fn.dataTable.defaults, { - // "sDom": 'T<"clear">lfrtip', - // "oTableTools": { - // "sSwfPath": "/static/packages/TableTools/media/swf/copy_csv_xls_pdf.swf" - // }, - // "iDisplayLength": 50 - // } ); - // - // $('#qtl_results').dataTable(); - //} ); </script> {% endblock %}
\ No newline at end of file diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py index 473dfdff..4f8e5890 100644 --- a/wqflask/wqflask/views.py +++ b/wqflask/wqflask/views.py @@ -3,10 +3,15 @@ from __future__ import absolute_import, division, print_function import csv import StringIO # Todo: Use cStringIO? +import cPickle as pickle + import simplejson as json #import json import yaml +from redis import Redis +Redis = Redis() + import flask import sqlalchemy #import config @@ -16,6 +21,7 @@ from wqflask import app from flask import render_template, request, make_response, Response, Flask, g, config, jsonify from wqflask import search_results +from base.data_set import DataSet # Used by YAML in marker_regression from wqflask.show_trait import show_trait from wqflask.show_trait import export_trait_data from wqflask.marker_regression import marker_regression @@ -149,14 +155,54 @@ def show_trait_page(): @app.route("/marker_regression", methods=('POST',)) def marker_regression_page(): - template_vars = marker_regression.MarkerRegression(request.form) - #print("js_data before dump:", template_vars.js_data) - template_vars.js_data = json.dumps(template_vars.js_data, - default=json_default_handler, - indent=" ") - #print("[dub] js_data after dump:", template_vars.js_data) - #print("marker_regression template_vars:", pf(template_vars.__dict__)) - return render_template("marker_regression.html", **template_vars.__dict__) + initial_start_vars = request.form + temp_uuid = initial_start_vars['temp_uuid'] + wanted = ( + 'trait_id', + 'dataset', + ) + + start_vars = {} + for key, value in initial_start_vars.iteritems(): + if key in wanted or key.startswith(('value:')): + start_vars[key] = value + + key = "marker_regression:v2:" + json.dumps(start_vars, sort_keys=True) + result = Redis.get(key) + + print("************************ Starting result *****************") + print("result is [{}]: {}".format(type(result), result)) + print("************************ Ending result ********************") + + if result: + with open("/tmp/result", "w") as fh: + fh.write(result) + print("Cache hit!!!") + import __builtin__ + import reaper + __builtin__.Dataset = reaper.Dataset + result = yaml.load(result) + print("Done loading yaml") + + else: + print("Cache miss!!!") + template_vars = marker_regression.MarkerRegression(start_vars, temp_uuid) + + template_vars.js_data = json.dumps(template_vars.js_data, + default=json_default_handler, + indent=" ") + + result = template_vars.__dict__ + + for item in template_vars.__dict__.keys(): + print(" ---**--- {}: {}".format(type(item), item)) + + #causeerror + Redis.set(key, yaml.dump(result)) + Redis.expire(key, 60*60) + + return render_template("marker_regression.html", **result) + @app.route("/corr_compute", methods=('POST',)) def corr_compute_page(): |