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-rw-r--r--wqflask/maintenance/dataset/specials.py129
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diff --git a/wqflask/maintenance/dataset/specials.py b/wqflask/maintenance/dataset/specials.py
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index 4ff85333..00000000
--- a/wqflask/maintenance/dataset/specials.py
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@@ -1,129 +0,0 @@
-import utilities
-import datastructure
-import genotypes
-import probesets
-import calculate
-
-"""
-For: Rob, GeneNetwork
-Date: 2014-02-04
-Function:
- For BXD group, fetch probesets with given locus (mapping info).
-
-locus="rs3663871"
-"""
-def bxd_probesets_locus(locus):
- #
- inbredsetid=1
- #
- file = open('probesets_%s.txt' % (locus), 'w+')
- file.write("GN Dataset ID\t")
- file.write("Dataset Full Name\t")
- file.write("ProbeSet Name\t")
- file.write("Symbol\t")
- file.write("ProbeSet Description\t")
- file.write("Probe Target Description\t")
- file.write("ProbeSet Chr\t")
- file.write("ProbeSet Mb\t")
- file.write("Mean\t")
- file.write("LRS\t")
- file.write("Geno Chr\t")
- file.write("Geno Mb\t")
- file.write("\n")
- file.flush()
- #
- results = get_normalized_probeset(locus=locus, inbredsetid=inbredsetid)
- for row in results:
- file.write("%s\t" % (row[0]))
- file.write("%s\t" % (utilities.clearspaces(row[2], default='')))
- file.write("%s\t" % (utilities.clearspaces(row[3], default='')))
- file.write("%s\t" % (utilities.clearspaces(row[4], default='')))
- file.write("%s\t" % (utilities.clearspaces(row[5], default='')))
- file.write("%s\t" % (utilities.clearspaces(row[6], default='')))
- file.write("%s\t" % (utilities.clearspaces(row[7], default='')))
- file.write("%s\t" % (row[8]))
- file.write("%s\t" % (row[9]))
- file.write("%s\t" % (row[10]))
- file.write("%s\t" % (utilities.clearspaces(row[11], default='')))
- file.write("%s\t" % (row[12]))
- file.write('\n')
- file.flush()
- file.close()
-
-"""
-For: Ash
-Date: 2014-02-05
-Function:
- For BXD group, calculate correlations with genotypes and probesets.
-Running History:
- 2014-02-05 /home/leiyan/gn2/wqflask/maintenance/dataset/datadir/20140205_Ash_correlations/output
-"""
-def bxd_correlations():
- #
- inbredsetid = 1
- genofile = "/home/leiyan/gn/web/genotypes/BXD.geno"
- outputdir = "/home/leiyan/gn2/wqflask/maintenance/dataset/datadir/20140205_Ash_correlations/output"
- #
- t = genotypes.load_genos(genofile)
- genostrains = t[0]
- genos = t[1]
- print "From geno file, get %d strains" % (len(genostrains))
- print "From geno file, get %d genos" % (len(genos))
- #
- probesetfreezes = datastructure.get_probesetfreezes(inbredsetid)
- print "From DB, get %d probesetfreezes" % (len(probesetfreezes))
- #
- for probesetfreeze in probesetfreezes:
- #
- print probesetfreeze
- probesetfreezeid = probesetfreeze[0]
- probesetfreezename = probesetfreeze[1]
- probesetfreezefullname = probesetfreeze[2]
- #
- outputfile = open("%s/%d_%s.txt" % (outputdir, probesetfreezeid, probesetfreezename), "w+")
- outputfile.write("%s\t" % "ProbeSet Id")
- outputfile.write("%s\t" % "ProbeSet Name")
- outputfile.write("%s\t" % "Geno Name")
- outputfile.write("%s\t" % "Overlap Number")
- outputfile.write("%s\t" % "Pearson r")
- outputfile.write("%s\t" % "Pearson p")
- outputfile.write("%s\t" % "Spearman r")
- outputfile.write("%s\t" % "Spearman p")
- outputfile.write("\n")
- outputfile.flush()
- #
- probesetxrefs = probesets.get_probesetxref(probesetfreezeid)
- print "Get %d probesetxrefs" % (len(probesetxrefs))
- #
- for probesetxref in probesetxrefs:
- #
- probesetid = probesetxref[0]
- probesetdataid = probesetxref[1]
- probeset = probesets.get_probeset(probesetid)
- probesetname = probeset[1]
- probesetdata = probesets.get_probesetdata(probesetdataid)
- probesetdata = zip(*probesetdata)
- probesetdata = utilities.to_dic([strain.lower() for strain in probesetdata[1]], probesetdata[2])
- #
- for geno in genos:
- genoname = geno['locus']
- outputfile.write("%s\t" % probesetid)
- outputfile.write("%s\t" % probesetname)
- outputfile.write("%s\t" % genoname)
- #
- dic1 = geno['dicvalues']
- dic2 = probesetdata
- keys, values1, values2 = utilities.overlap(dic1, dic2)
- rs = calculate.correlation(values1, values2)
- #
- outputfile.write("%s\t" % len(keys))
- outputfile.write("%s\t" % rs[0][0])
- outputfile.write("%s\t" % rs[0][1])
- outputfile.write("%s\t" % rs[1][0])
- outputfile.write("%s\t" % rs[1][1])
- outputfile.write("\n")
- outputfile.flush()
- #
- outputfile.close()
-
-bxd_correlations()