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diff --git a/gn2/base/data_set/mrnaassaydataset.py b/gn2/base/data_set/mrnaassaydataset.py
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+"MrnaAssayDataSet class ..."
+
+import codecs
+
+
+from .dataset import DataSet
+from .utils import geno_mrna_confidentiality
+from gn2.wqflask.database import database_connection
+from gn2.utility.tools import get_setting
+
+class MrnaAssayDataSet(DataSet):
+ '''
+ An mRNA Assay is a quantitative assessment (assay) associated with an mRNA trait
+
+ This used to be called ProbeSet, but that term only refers specifically to the Affymetrix
+ platform and is far too specific.
+
+ '''
+
+ def setup(self):
+ # Fields in the database table
+ self.search_fields = ['Name',
+ 'Description',
+ 'Probe_Target_Description',
+ 'Symbol',
+ 'Alias',
+ 'GenbankId',
+ 'UniGeneId',
+ 'RefSeq_TranscriptId']
+
+ # Find out what display_fields is
+ self.display_fields = ['name', 'symbol',
+ 'description', 'probe_target_description',
+ 'chr', 'mb',
+ 'alias', 'geneid',
+ 'genbankid', 'unigeneid',
+ 'omim', 'refseq_transcriptid',
+ 'blatseq', 'targetseq',
+ 'chipid', 'comments',
+ 'strand_probe', 'strand_gene',
+ 'proteinid', 'uniprotid',
+ 'probe_set_target_region',
+ 'probe_set_specificity',
+ 'probe_set_blat_score',
+ 'probe_set_blat_mb_start',
+ 'probe_set_blat_mb_end',
+ 'probe_set_strand',
+ 'probe_set_note_by_rw',
+ 'flag']
+
+ # Fields displayed in the search results table header
+ self.header_fields = ['Index',
+ 'Record',
+ 'Symbol',
+ 'Description',
+ 'Location',
+ 'Mean',
+ 'Max LRS',
+ 'Max LRS Location',
+ 'Additive Effect']
+
+ # Todo: Obsolete or rename this field
+ self.type = 'ProbeSet'
+ self.query_for_group = """
+SELECT InbredSet.Name, InbredSet.Id, InbredSet.GeneticType, InbredSet.InbredSetCode
+FROM InbredSet, ProbeSetFreeze, ProbeFreeze WHERE ProbeFreeze.InbredSetId = InbredSet.Id AND
+ProbeFreeze.Id = ProbeSetFreeze.ProbeFreezeId AND ProbeSetFreeze.Name = %s"""
+
+ def check_confidentiality(self):
+ return geno_mrna_confidentiality(self)
+
+ def get_trait_info(self, trait_list=None, species=''):
+
+ # Note: setting trait_list to [] is probably not a great idea.
+ if not trait_list:
+ trait_list = []
+ with database_connection(get_setting("SQL_URI")) as conn, conn.cursor() as cursor:
+ for this_trait in trait_list:
+
+ if not this_trait.haveinfo:
+ this_trait.retrieveInfo(QTL=1)
+
+ if not this_trait.symbol:
+ this_trait.symbol = "N/A"
+
+ # XZ, 12/08/2008: description
+ # XZ, 06/05/2009: Rob asked to add probe target description
+ description_string = str(
+ str(this_trait.description).strip(codecs.BOM_UTF8), 'utf-8')
+ target_string = str(
+ str(this_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 = this_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
+ this_trait.description_display = description_display
+
+ if this_trait.chr and this_trait.mb:
+ this_trait.location_repr = 'Chr%s: %.6f' % (
+ this_trait.chr, float(this_trait.mb))
+
+ # Get mean expression value
+ cursor.execute(
+ "SELECT ProbeSetXRef.mean FROM "
+ "ProbeSetXRef, ProbeSet WHERE "
+ "ProbeSetXRef.ProbeSetFreezeId = %s "
+ "AND ProbeSet.Id = ProbeSetXRef.ProbeSetId "
+ "AND ProbeSet.Name = %s",
+ (str(this_trait.dataset.id), this_trait.name,)
+ )
+ result = cursor.fetchone()
+
+ mean = result[0] if result else 0
+
+ if mean:
+ this_trait.mean = "%2.3f" % mean
+
+ # LRS and its location
+ this_trait.LRS_score_repr = 'N/A'
+ this_trait.LRS_location_repr = 'N/A'
+
+ # Max LRS and its Locus location
+ if this_trait.lrs and this_trait.locus:
+ cursor.execute(
+ "SELECT Geno.Chr, Geno.Mb FROM "
+ "Geno, Species WHERE "
+ "Species.Name = %s AND "
+ "Geno.Name = %s AND "
+ "Geno.SpeciesId = Species.Id",
+ (species, this_trait.locus,)
+ )
+ if result := cursor.fetchone():
+ lrs_chr, lrs_mb = result
+ this_trait.LRS_score_repr = '%3.1f' % this_trait.lrs
+ this_trait.LRS_location_repr = 'Chr%s: %.6f' % (
+ lrs_chr, float(lrs_mb))
+
+ return trait_list
+
+ def retrieve_sample_data(self, trait):
+ with database_connection(get_setting("SQL_URI")) as conn, conn.cursor() as cursor:
+ cursor.execute(
+ "SELECT Strain.Name, ProbeSetData.value, "
+ "ProbeSetSE.error, NStrain.count, "
+ "Strain.Name2 FROM (ProbeSetData, "
+ "ProbeSetFreeze, Strain, ProbeSet, "
+ "ProbeSetXRef) LEFT JOIN ProbeSetSE ON "
+ "(ProbeSetSE.DataId = ProbeSetData.Id AND "
+ "ProbeSetSE.StrainId = ProbeSetData.StrainId) "
+ "LEFT JOIN NStrain ON "
+ "(NStrain.DataId = ProbeSetData.Id AND "
+ "NStrain.StrainId = ProbeSetData.StrainId) "
+ "WHERE ProbeSet.Name = %s AND "
+ "ProbeSetXRef.ProbeSetId = ProbeSet.Id "
+ "AND ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id "
+ "AND ProbeSetFreeze.Name = %s AND "
+ "ProbeSetXRef.DataId = ProbeSetData.Id "
+ "AND ProbeSetData.StrainId = Strain.Id "
+ "ORDER BY Strain.Name",
+ (trait, self.name,)
+ )
+ return cursor.fetchall()
+
+ def retrieve_genes(self, column_name):
+ with database_connection(get_setting("SQL_URI")) as conn, conn.cursor() as cursor:
+ cursor.execute(
+ f"SELECT ProbeSet.Name, ProbeSet.{column_name} "
+ "FROM ProbeSet,ProbeSetXRef WHERE "
+ "ProbeSetXRef.ProbeSetFreezeId = %s "
+ "AND ProbeSetXRef.ProbeSetId=ProbeSet.Id",
+ (str(self.id),))
+ return dict(cursor.fetchall())