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Diffstat (limited to 'web/webqtl/intervalMapping/IntervalMappingPage.py')
| -rw-r--r-- | web/webqtl/intervalMapping/IntervalMappingPage.py | 2454 |
1 files changed, 2454 insertions, 0 deletions
diff --git a/web/webqtl/intervalMapping/IntervalMappingPage.py b/web/webqtl/intervalMapping/IntervalMappingPage.py new file mode 100644 index 00000000..4bdf45ab --- /dev/null +++ b/web/webqtl/intervalMapping/IntervalMappingPage.py @@ -0,0 +1,2454 @@ +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# +# This program is free software: you can redistribute it and/or modify it +# under the terms of the GNU Affero General Public License +# as published by the Free Software Foundation, either version 3 of the +# License, or (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# See the GNU Affero General Public License for more details. +# +# This program is available from Source Forge: at GeneNetwork Project +# (sourceforge.net/projects/genenetwork/). +# +# Contact Drs. Robert W. Williams and Xiaodong Zhou (2010) +# at rwilliams@uthsc.edu and xzhou15@uthsc.edu +# +# +# +# This module is used by GeneNetwork project (www.genenetwork.org) +# +# Created by GeneNetwork Core Team 2010/08/10 +# +# Last updated by Zach 12/14/2010 + + +import time +import string +from math import * +import piddle as pid +import sys,os +import httplib, urllib + +from htmlgen import HTMLgen2 as HT +from utility import Plot +from intervalAnalyst import GeneUtil +from base.webqtlTrait import webqtlTrait +from base.templatePage import templatePage +from utility import webqtlUtil +from base import webqtlConfig +from dbFunction import webqtlDatabaseFunction +from base.GeneralObject import GeneralObject + +######################################### +# Inteval Mapping Plot Page +######################################### +class IntervalMappingPage(templatePage): + cMGraphInterval = 5 + maxBootStrap = 50 + GRAPH_MIN_WIDTH = 900 + GRAPH_MAX_WIDTH = 10000 # Don't set this too high + GRAPH_DEFAULT_WIDTH = 1280 + MULT_GRAPH_DEFAULT_WIDTH = 2000 + MULT_GRAPH_MIN_WIDTH = 1400 + MULT_GRAPH_DEFAULT_WIDTH = 1600 + GRAPH_DEFAULT_HEIGHT = 600 + + + # Display order: + # UCSC BAND ========= + # ENSEMBL BAND -=-=-= + # ** GENES ********** + BAND_SPACING = 4 + + #ENSEMBL_BAND_Y = UCSC_BAND_Y + UCSC_BAND_HEIGHT + BAND_SPACING + UCSC_BAND_HEIGHT = 10 + ENSEMBL_BAND_HEIGHT = 10 + WEBQTL_BAND_HEIGHT = 10 + + #GENE_START_Y = ENSEMBL_BAND_Y + ENSEMBL_BAND_HEIGHT + BAND_SPACING + NUM_GENE_ROWS = 10 + EACH_GENE_HEIGHT = 6 # number of pixels tall, for each gene to display + EACH_GENE_ARROW_WIDTH = 5 + EACH_GENE_ARROW_SPACING = 14 + DRAW_DETAIL_MB = 4 + DRAW_UTR_LABELS_MB = 4 + + MIN_PIXELS_BETWEEN_LABELS = 50 + + qmarkImg = HT.Image('/images/qmarkBoxBlue.gif', width=10, height=13, border=0, alt='Glossary') + # Note that "qmark.gif" is a similar, smaller, rounded-edges question mark. It doesn't look + # like the ones on the image, though, which is why we don't use it here. + + HELP_WINDOW_NAME = 'helpWind' + + ## BEGIN HaplotypeAnalyst + NR_INDIVIDUALS = 0 + ## END HaplotypeAnalyst + + ALEX_DEBUG_BOOL_COLORIZE_GENES = 1 # 0=don't colorize, 1=colorize + ALEX_DEBUG_BOOL_PRINT_GENE_LIST = 1 + + kWIDTH_DEFAULT=1 + + kONE_MILLION = 1000000 + + LODFACTOR = 4.61 + + SNP_COLOR = pid.orange # Color for the SNP "seismograph" + TRANSCRIPT_LOCATION_COLOR = pid.mediumpurple + + GENE_FILL_COLOR = pid.HexColor(0x6666FF) + GENE_OUTLINE_COLOR = pid.HexColor(0x000077) + BOOTSTRAP_BOX_COLOR = pid.yellow + LRS_COLOR = pid.HexColor(0x0000FF) + LRS_LINE_WIDTH = 2 + SIGNIFICANT_COLOR = pid.HexColor(0xEBC7C7) + SUGGESTIVE_COLOR = pid.gainsboro + SIGNIFICANT_WIDTH = 5 + SUGGESTIVE_WIDTH = 5 + ADDITIVE_COLOR_POSITIVE = pid.green + ADDITIVE_COLOR_NEGATIVE = pid.red + ADDITIVE_COLOR = ADDITIVE_COLOR_POSITIVE + DOMINANCE_COLOR_POSITIVE = pid.darkviolet + DOMINANCE_COLOR_NEGATIVE = pid.orange + + ## BEGIN HaplotypeAnalyst + HAPLOTYPE_POSITIVE = pid.green + HAPLOTYPE_NEGATIVE = pid.red + HAPLOTYPE_HETEROZYGOUS = pid.blue + HAPLOTYPE_RECOMBINATION = pid.darkgray + ## END HaplotypeAnalyst + + QMARK_EDGE_COLOR = pid.HexColor(0x718118) + QMARK_FILL_COLOR = pid.HexColor(0xDEE3BB) + + TOP_RIGHT_INFO_COLOR = pid.black + X_AXIS_LABEL_COLOR = pid.black #HexColor(0x505050) + + MINI_VIEW_MAGNIFIED_REGION_COLOR = pid.HexColor(0xCC0000) + MINI_VIEW_OUTSIDE_REGION_COLOR = pid.HexColor(0xEEEEEE) + MINI_VIEW_BORDER_COLOR = pid.black + + CLICKABLE_WEBQTL_REGION_COLOR = pid.HexColor(0xF5D3D3) + CLICKABLE_WEBQTL_REGION_OUTLINE_COLOR = pid.HexColor(0xFCE9E9) + CLICKABLE_WEBQTL_TEXT_COLOR = pid.HexColor(0x912828) + + CLICKABLE_UCSC_REGION_COLOR = pid.HexColor(0xDDDDEE) + CLICKABLE_UCSC_REGION_OUTLINE_COLOR = pid.HexColor(0xEDEDFF) + CLICKABLE_UCSC_TEXT_COLOR = pid.HexColor(0x333366) + + CLICKABLE_ENSEMBL_REGION_COLOR = pid.HexColor(0xEEEEDD) + CLICKABLE_ENSEMBL_REGION_OUTLINE_COLOR = pid.HexColor(0xFEFEEE) + CLICKABLE_ENSEMBL_TEXT_COLOR = pid.HexColor(0x555500) + + GRAPH_BACK_LIGHT_COLOR = pid.HexColor(0xFBFBFF) + GRAPH_BACK_DARK_COLOR = pid.HexColor(0xF1F1F9) + + HELP_PAGE_REF = '/glossary.html' + + DRAW_UTR_LABELS=0 + + def __init__(self,fd): + + templatePage.__init__(self, fd) + + if not self.openMysql(): + return + + #RISet and Species + if not fd.genotype: + fd.readGenotype() + + fd.parentsf14regression = fd.formdata.getvalue('parentsf14regression') + + if ((fd.parentsf14regression == 'on') and fd.genotype_2): + fd.genotype = fd.genotype_2 + else: + fd.genotype = fd.genotype_1 + fd.strainlist = list(fd.genotype.prgy) + + self.species = webqtlDatabaseFunction.retrieveSpecies(cursor=self.cursor, RISet=fd.RISet) + if self.species == "rat": + self._ucscDb = "rn3" + elif self.species == "mouse": + self._ucscDb = "mm9" + else: + self._ucscDb = "" + + ##################################### + # Options + ##################################### + #Mapping options + self.plotScale = fd.formdata.getvalue('scale', 'physic') + if self.plotScale == 'physic' and not fd.genotype.Mbmap: + self.plotScale = 'morgan' + self.permChecked = fd.formdata.getvalue('permCheck') + self.bootChecked = fd.formdata.getvalue('bootCheck', '') + self.controlLocus = fd.formdata.getvalue('controlLocus', '') + try: + self.selectedChr = int(fd.formdata.getvalue('chromosomes', "-1")) + except: + self.selectedChr = -1 + + #whether include parents and F1 for InbredSet + fd.parentsf14regression = fd.formdata.getvalue('parentsf14regression') + if ((fd.parentsf14regression == 'on') and fd.genotype_2): + fd.genotype = fd.genotype_2 + else: + fd.genotype = fd.genotype_1 + self.strainlist = list(fd.genotype.prgy) + self.genotype = fd.genotype + + #Darwing Options + try: + if self.selectedChr > -1: + self.graphWidth = min(self.GRAPH_MAX_WIDTH, max(self.GRAPH_MIN_WIDTH, int(fd.formdata.getvalue('graphWidth')))) + else: + self.graphWidth = min(self.GRAPH_MAX_WIDTH, max(self.MULT_GRAPH_MIN_WIDTH, int(fd.formdata.getvalue('graphWidth')))) + except: + if self.selectedChr > -1: + self.graphWidth = self.GRAPH_DEFAULT_WIDTH + else: + self.graphWidth = self.MULT_GRAPH_DEFAULT_WIDTH + +## BEGIN HaplotypeAnalyst + self.haplotypeAnalystChecked = fd.formdata.getvalue('haplotypeAnalystCheck') +## END HaplotypeAnalyst + + + self.graphHeight = self.GRAPH_DEFAULT_HEIGHT + self.additiveChecked = fd.formdata.getvalue('additiveCheck') + self.dominanceChecked = fd.formdata.getvalue('dominanceCheck') + self.LRS_LOD = fd.formdata.getvalue('LRSCheck', 'LRS') + self.intervalAnalystChecked = fd.formdata.getvalue('intervalAnalystCheck') + self.legendChecked = fd.formdata.getvalue('viewLegend') + self.geneChecked = fd.formdata.getvalue('showGenes') + self.SNPChecked = fd.formdata.getvalue('showSNP') + self.draw2X = fd.formdata.getvalue('draw2X') + self.lrsMax = float(fd.formdata.getvalue('lrsMax', 0)) + + self.startMb = fd.formdata.getvalue('startMb', "-1") + self.endMb = fd.formdata.getvalue('endMb', "-1") + 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 + #Trait Infos + self.identification = fd.formdata.getvalue('identification', "") + + ################################################################ + # Generate Chr list and Retrieve Length Information + ################################################################ + 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) + + if self.plotScale == 'physic': + self.GraphInterval = self.MbGraphInterval #Mb + else: + self.GraphInterval = self.cMGraphInterval #cM + + + ################################################################ + # Get Trait Values and Infomation + ################################################################ + #input from search page or selection page + self.searchResult = fd.formdata.getvalue('searchResult') + #convert single selection into a list + if type("1") == type(self.searchResult): + self.searchResult = string.split(self.searchResult,'\t') + + self.traitList = [] + if self.searchResult and len(self.searchResult) > webqtlConfig.MULTIPLEMAPPINGLIMIT: + heading = 'Multiple Interval Mapping' + detail = ['In order to get clear result, do not select more than %d traits for \ + Multiple Interval Mapping analysis.' % webqtlConfig.MULTIPLEMAPPINGLIMIT] + self.error(heading=heading,detail=detail) + return + elif self.searchResult: + self.dataSource = 'selectionPage' + for item in self.searchResult: + thisTrait = webqtlTrait(fullname=item, cursor=self.cursor) + thisTrait.retrieveInfo() + thisTrait.retrieveData(fd.strainlist) + self.traitList.append(thisTrait) + else: + #input from data editing page + fd.readData() + if not fd.allTraitData: + heading = "Mapping" + detail = ['No trait data was selected for %s data set. No mapping attempted.' % fd.RISet] + self.error(heading=heading,detail=detail) + return + + self.dataSource = 'editingPage' + fullname = fd.formdata.getvalue('fullname', '') + if fullname: + thisTrait = webqtlTrait(fullname=fullname, data=fd.allTraitData, cursor=self.cursor) + thisTrait.retrieveInfo() + else: + thisTrait = webqtlTrait(data=fd.allTraitData) + self.traitList.append(thisTrait) + + + + + + + +## BEGIN HaplotypeAnalyst +## count the amount of individuals to be plotted, and increase self.graphHeight + if self.haplotypeAnalystChecked and self.selectedChr > -1: + thisTrait = self.traitList[0] + _strains, _vals, _vars = thisTrait.exportInformative() + smd=[] + for ii, _val in enumerate(_vals): + temp = GeneralObject(name=_strains[ii], value=_val) + smd.append(temp) + bxdlist=list(self.genotype.prgy) + for j,_geno in enumerate (self.genotype[0][1].genotype): + for item in smd: + if item.name == bxdlist[j]: + self.NR_INDIVIDUALS = self.NR_INDIVIDUALS + 1 +## default: + self.graphHeight = self.graphHeight + 2 * (self.NR_INDIVIDUALS+10) * self.EACH_GENE_HEIGHT +## for paper: + #self.graphHeight = self.graphHeight + 1 * self.NR_INDIVIDUALS * self.EACH_GENE_HEIGHT - 180 + + + +## END HaplotypeAnalyst + + ################################################################ + # Calculations QTL goes here + ################################################################ + self.multipleInterval = len(self.traitList) > 1 + errorMessage = self.calculateAllResult(fd) + if errorMessage: + heading = "Mapping" + detail = ['%s' % errorMessage] + self.error(heading=heading,detail=detail) + return + + if self.multipleInterval: + self.colorCollection = Plot.colorSpectrum(len(self.qtlresults)) + else: + self.colorCollection = [self.LRS_COLOR] + + + ######################### + ## Get the sorting column + ######################### + RISet = fd.RISet + if RISet in ('AXB', 'BXA', 'AXBXA'): + self.diffCol = ['B6J', 'A/J'] + elif RISet in ('BXD', 'BXD300', 'B6D2F2', 'BDF2-2005', 'BDF2-1999', 'BHHBF2'): + self.diffCol = ['B6J', 'D2J'] + elif RISet in ('CXB'): + self.diffCol = ['CBY', 'B6J'] + elif RISet in ('BXH', 'BHF2'): + self.diffCol = ['B6J', 'C3H'] + elif RISet in ('B6BTBRF2'): + self.diffCol = ['B6J', 'BTB'] + elif RISet in ('LXS'): + self.diffCol = ['ILS', 'ISS'] + else: + self.diffCol= [] + + for i, strain in enumerate(self.diffCol): + self.cursor.execute("select Id from Strain where Symbol = %s", strain) + self.diffCol[i] = self.cursor.fetchone()[0] + #print self.diffCol + + ################################################################ + # GeneCollection goes here + ################################################################ + if self.plotScale == 'physic': + #StartMb or EndMb + if self.startMb < 0 or self.endMb < 0: + self.startMb = 0 + self.endMb = self.ChrLengthMbList[self.selectedChr] + + geneTable = "" + if self.plotScale == 'physic' and self.selectedChr > -1 and (self.intervalAnalystChecked or self.geneChecked): + chrName = self.genotype[0].name + # Draw the genes for this chromosome / region of this chromosome + if self.traitList and self.traitList[0] and len(self.traitList) == 1 and self.traitList[0].db: + webqtldatabase = self.traitList[0].db.name + else: + webqtldatabase = None + + self.geneCol = None + + if self.species == "mouse": + self.geneCol = GeneUtil.loadGenes(self.cursor, chrName, self.diffCol, self.startMb, self.endMb, webqtldatabase, "mouse") + elif self.species == "rat": + self.geneCol = GeneUtil.loadGenes(self.cursor, chrName, self.diffCol, self.startMb, self.endMb, webqtldatabase, "rat") + else: + self.geneCol = None + + if self.geneCol and self.intervalAnalystChecked: + ####################################################################### + #Nick use GENEID as RefGene to get Literature Correlation Informations# + #For Interval Mapping, Literature Correlation isn't useful, so skip it# + #through set GENEID is None # + ######################################################################## + + #GENEID = fd.formdata.getvalue('GeneId') or None + GENEID = None + geneTable = self.geneTables(self.geneCol,GENEID) + + else: + self.geneCol = None + + ################################################################ + # Plots goes here + ################################################################ + if self.plotScale != 'physic' or self.multipleInterval: + showLocusForm = webqtlUtil.genRandStr("fm_") + else: + showLocusForm = "" + intCanvas = pid.PILCanvas(size=(self.graphWidth,self.graphHeight)) + gifmap = self.plotIntMapping(fd, intCanvas, startMb = self.startMb, endMb = self.endMb, showLocusForm= 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') + + if self.draw2X: + intCanvasX2 = pid.PILCanvas(size=(self.graphWidth*2,self.graphHeight*2)) + gifmapX2 = self.plotIntMapping(fd, intCanvasX2, startMb = self.startMb, endMb = self.endMb, showLocusForm= showLocusForm, zoom=2) + intCanvasX2.save(os.path.join(webqtlConfig.IMGDIR, filename+"X2"), format='png') + DLintImgX2=HT.Href(text='Download',url = '/image/'+filename+'X2.png', Class='smallsize', target='_blank') + + textUrl = self.writeQTL2Text(fd, filename) + + ################################################################ + # Info tables goes here + ################################################################ + traitInfoTD = self.traitInfoTD(fd) + + if self.draw2X: + traitInfoTD.append(HT.P(), DLintImgX2, ' a higher resolution 2X image. ') + else: + traitInfoTD.append(HT.P()) + + if textUrl: + traitInfoTD.append(HT.BR(), textUrl, ' results in tab-delimited text format.') + traitRemapTD = self.traitRemapTD(self.cursor, fd) + + topTable = HT.TableLite(HT.TR(traitInfoTD, HT.TD(" ", width=25), traitRemapTD), border=0, cellspacing=0, cellpadding=0) + + ################################################################ + # Outputs goes here + ################################################################ + #this form is used for opening Locus page or trait page, only available for genetic mapping + if showLocusForm: + showLocusForm = HT.Form(cgi= os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), enctype='multipart/form-data', + name=showLocusForm, submit=HT.Input(type='hidden')) + hddn = {'FormID':'showDatabase', 'ProbeSetID':'_','database':fd.RISet+"Geno",'CellID':'_', 'RISet':fd.RISet, 'incparentsf1':'ON'} + for key in hddn.keys(): + showLocusForm.append(HT.Input(name=key, value=hddn[key], type='hidden')) + showLocusForm.append(intImg) + else: + showLocusForm = intImg + + ################################################################ + # 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) + + if self.traitList and self.traitList[0].db and self.traitList[0].db.type == 'Geno': + btminfo.append(HT.BR(), 'Mapping using genotype data as a trait will result in infinity LRS at one locus. In order to display the result properly, all LRSs higher than 100 are capped at 100.') + + TD_LR = HT.TD(HT.Blockquote(topTable), HT.Blockquote(gifmap, showLocusForm, HT.P(), btminfo), bgColor='#eeeeee', height = 200) + + if geneTable: + iaForm = HT.Form(cgi= os.path.join(webqtlConfig.CGIDIR, "main.py?FormID=intervalAnalyst"), enctype='multipart/form-data', + name="iaForm", submit=HT.Input(type='hidden')) + hddn = {'chromosome':self.genotype[0].name, 'species':self.species,'startMb':self.startMb,'endMb':self.endMb} + if self.diffCol: + hddn['s1'] = self.diffCol[0] + hddn['s2'] = self.diffCol[1] + for key in hddn.keys(): + iaForm.append(HT.Input(name=key, value=hddn[key], type='hidden')) + iaForm.append(HT.Paragraph("Interval Analyst : Chr %s from %2.6f to %2.6f Mb" % (self.genotype[0].name, self.startMb, self.endMb), + HT.Input(name='customize', value='Customize', onClick= "formInNewWindow(this.form);", type='button', Class="button"), Class="subtitle")) + TD_LR.append(HT.Blockquote(iaForm, geneTable)) + + self.dict['body'] = TD_LR + self.dict['title'] = "Mapping" + + def writeQTL2Text(self, fd, filename): + if self.multipleInterval: + return "" + _dominance = (self.genotype.type == 'intercross') + _Mb = self.genotype.Mbmap + + ###Write to text file + fpText = open(os.path.join(webqtlConfig.TMPDIR, filename) + '.txt','wb') + + fpText.write("Source: WebQTL, The GeneNetwork (%s)\n" % webqtlConfig.PORTADDR) + # + fpText.write("Site: %s\n" % webqtlConfig.SITENAME) + fpText.write("Page: Map Viewer\n") + fpText.write(time.strftime("Date and Time (US Center): %b %d, %Y at %I.%M %p\n", time.localtime())) + fpText.write("Trait ID: %s\n" % fd.identification) + fpText.write("Suggestive LRS = %0.2f\n" % self.suggestive) + fpText.write("Significant LRS = %0.2f\n" % self.significance) + """ + if fd.traitInfo: + writeSymbol, writeChromosome, writeMb = string.split(fd.traitInfo) + else: + writeSymbol, writeChromosome, writeMb = (" ", " ", " ") + fpText.write("Gene Symbol: %s\n" % writeSymbol) + fpText.write("Location: Chr %s @ %s Mb\n" % (writeChromosome, writeMb)) + selectedChr = self.indexToChrName(int(fd.formdata.getvalue('chromosomes', -1))) + fpText.write("Chromosome: %s\n" % selectedChr) + fpText.write("Region: %0.6f-%0.6f Mb\n\n" % (self.startMb, self.endMb)) + """ + + if hasattr(self, 'LRSArray'): + if _dominance: + fpText.write('Chr\tLocus\tcM\tMb\tLRS\tP-value\tAdditive\tDominance\n') + else: + fpText.write('Chr\tLocus\tcM\tMb\tLRS\tP-value\tAdditive\n') + else: + if _dominance: + fpText.write('Chr\tLocus\tcM\tMb\tLRS\tAdditive\tDominance\n') + else: + fpText.write('Chr\tLocus\tcM\tMb\tLRS\tAdditive\n') + + i = 0 + for qtlresult in self.qtlresults[0]: + if _Mb: + locusMb = '%2.3f' % qtlresult.locus.Mb + else: + locusMb = 'N/A' + + if hasattr(self, 'LRSArray'): + P_value = self.calculatePValue(qtlresult.lrs, self.LRSArray) + + if _dominance: + fpText.write("%s\t%s\t%2.3f\t%s\t%2.3f\t%2.3f\t%2.3f\t%2.3f\n" %(qtlresult.locus.chr, \ + qtlresult.locus.name, qtlresult.locus.cM, locusMb , qtlresult.lrs, P_value, qtlresult.additive, qtlresult.dominance)) + else: + fpText.write("%s\t%s\t%2.3f\t%s\t%2.3f\t%2.3f\t%2.3f\n" %(qtlresult.locus.chr, \ + qtlresult.locus.name, qtlresult.locus.cM, locusMb , qtlresult.lrs, P_value, qtlresult.additive)) + else: + if _dominance: + fpText.write("%s\t%s\t%2.3f\t%s\t%2.3f\t%2.3f\t%2.3f\n" %(qtlresult.locus.chr, \ + qtlresult.locus.name, qtlresult.locus.cM, locusMb , qtlresult.lrs, qtlresult.additive, qtlresult.dominance)) + else: + fpText.write("%s\t%s\t%2.3f\t%s\t%2.3f\t%2.3f\n" %(qtlresult.locus.chr, \ + qtlresult.locus.name, qtlresult.locus.cM, locusMb , qtlresult.lrs, qtlresult.additive)) + + i += 1 + + fpText.close() + textUrl = HT.Href(text = 'Download', url= '/tmp/'+filename+'.txt', target = "_blank", Class='smallsize') + return textUrl + + def plotIntMapping(self, fd, canvas, offset= (80, 120, 20, 80), zoom = 1, startMb = None, endMb = None, showLocusForm = ""): + #calculating margins + xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset + if self.multipleInterval: + yTopOffset = max(80, yTopOffset) + else: + if self.legendChecked: + yTopOffset = max(80, yTopOffset) + else: + pass + + if self.plotScale != 'physic': + yBottomOffset = max(120, yBottomOffset) + 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: + 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: + drawAreaHeight -= 30 + +## BEGIN HaplotypeAnalyst + if self.haplotypeAnalystChecked and self.selectedChr > -1: + drawAreaHeight -= self.EACH_GENE_HEIGHT * (self.NR_INDIVIDUALS+10) * 2 * zoom +## END HaplotypeAnalyst + + #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 bootstap + if self.bootChecked and not self.multipleInterval: + self.drawBootStrapResult(canvas, fd.nboot, drawAreaHeight, plotXScale, offset=newoffset) + + # Draw clickable region and gene band if selected + if self.plotScale == 'physic' and self.selectedChr > -1: + self.drawClickBand(canvas, gifmap, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) + if self.geneChecked and self.geneCol: + self.drawGeneBand(canvas, gifmap, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) + if self.SNPChecked: + self.drawSNPTrackNew(canvas, offset=newoffset, zoom= 2*zoom, startMb=startMb, endMb = endMb) +## BEGIN HaplotypeAnalyst + if self.haplotypeAnalystChecked: + self.drawHaplotypeBand(canvas, gifmap, plotXScale, offset=newoffset, zoom= zoom, startMb=startMb, endMb = endMb) +## END HaplotypeAnalyst + # 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 + + def drawBootStrapResult(self, canvas, nboot, drawAreaHeight, 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 + yZero = canvas.size[1] - yBottomOffset + fontZoom = zoom + if zoom == 2: + fontZoom = 1.5 + + bootHeightThresh = drawAreaHeight*3/4 + + #break bootstrap result into groups + BootCoord = [] + i = 0 + startX = xLeftOffset + for j, _chr in enumerate(self.genotype): + BootCoord.append( []) + for _locus in _chr: + if self.plotScale == 'physic': + Xc = startX + (_locus.Mb-self.startMb)*plotXScale + else: + Xc = startX + (_locus.cM-_chr[0].cM)*plotXScale + BootCoord[-1].append([Xc, self.bootResult[i]]) + i += 1 + startX += (self.ChrLengthDistList[j] + self.GraphInterval)*plotXScale + + #reduce bootResult + if self.selectedChr > -1: + maxBootBar = 80.0 + else: + maxBootBar = 200.0 + stepBootStrap = plotWidth/maxBootBar + reducedBootCoord = [] + maxBootCount = 0 + + for BootChrCoord in BootCoord: + nBoot = len(BootChrCoord) + bootStartPixX = BootChrCoord[0][0] + bootCount = BootChrCoord[0][1] + for i in range(1, nBoot): + if BootChrCoord[i][0] - bootStartPixX < stepBootStrap: + bootCount += BootChrCoord[i][1] + continue + else: + if maxBootCount < bootCount: + maxBootCount = bootCount + # end if + reducedBootCoord.append([bootStartPixX, BootChrCoord[i][0], bootCount]) + bootStartPixX = BootChrCoord[i][0] + bootCount = BootChrCoord[i][1] + # end else + # end for + #add last piece + if BootChrCoord[-1][0] - bootStartPixX > stepBootStrap/2.0: + reducedBootCoord.append([bootStartPixX, BootChrCoord[-1][0], bootCount]) + else: + reducedBootCoord[-1][2] += bootCount + reducedBootCoord[-1][1] = BootChrCoord[-1][0] + # end else + if maxBootCount < reducedBootCoord[-1][2]: + maxBootCount = reducedBootCoord[-1][2] + # end if + for item in reducedBootCoord: + if item[2] > 0: + if item[0] < xLeftOffset: + item[0] = xLeftOffset + if item[0] > xLeftOffset+plotWidth: + item[0] = xLeftOffset+plotWidth + if item[1] < xLeftOffset: + item[1] = xLeftOffset + if item[1] > xLeftOffset+plotWidth: + item[1] = xLeftOffset+plotWidth + if item[0] != item[1]: + canvas.drawRect(item[0], yZero, item[1], yZero - item[2]*bootHeightThresh/maxBootCount, + fillColor=self.BOOTSTRAP_BOX_COLOR) + + ###draw boot scale + highestPercent = (maxBootCount*100.0)/nboot + bootScale = Plot.detScale(0, highestPercent) + bootScale = Plot.frange(bootScale[0], bootScale[1], bootScale[1]/bootScale[2]) + bootScale = bootScale[:-1] + [highestPercent] + + bootOffset = 50*fontZoom + bootScaleFont=pid.Font(ttf="verdana",size=13*fontZoom,bold=0) + canvas.drawRect(canvas.size[0]-bootOffset,yZero-bootHeightThresh,canvas.size[0]-bootOffset-15*zoom,yZero,fillColor = pid.yellow) + canvas.drawLine(canvas.size[0]-bootOffset+4, yZero, canvas.size[0]-bootOffset, yZero, color=pid.black) + canvas.drawString('0%' ,canvas.size[0]-bootOffset+10,yZero+5,font=bootScaleFont,color=pid.black) + for item in bootScale: + if item == 0: + continue + bootY = yZero-bootHeightThresh*item/highestPercent + canvas.drawLine(canvas.size[0]-bootOffset+4,bootY,canvas.size[0]-bootOffset,bootY,color=pid.black) + canvas.drawString('%2.1f'%item ,canvas.size[0]-bootOffset+10,bootY+5,font=bootScaleFont,color=pid.black) + + if self.legendChecked: + startPosY = 30 + nCol = 2 + smallLabelFont = pid.Font(ttf="trebuc", size=12, bold=1) + leftOffset = xLeftOffset+(nCol-1)*200 + canvas.drawRect(leftOffset,startPosY-6, leftOffset+12,startPosY+6, fillColor=pid.yellow) + canvas.drawString('Frequency of the Peak LRS',leftOffset+ 20, startPosY+5,font=smallLabelFont,color=pid.black) + + 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 + Mb = self.traitList[0].mb + 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) + + + def drawSNPTrackNew(self, canvas, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + if self.plotScale != 'physic' or self.selectedChr == -1 or not self.diffCol: + return + + SNP_HEIGHT_MODIFIER = 18.0 + + 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 + + drawSNPLocationY = yTopOffset + plotHeight + chrName = self.genotype[0].name + + stepMb = (endMb-startMb)/plotWidth + strainId1, strainId2 = self.diffCol + SNPCounts = [] + + while startMb<endMb: + self.cursor.execute(""" + select + count(*) from BXDSnpPosition + where + Chr = '%s' AND Mb >= %2.6f AND Mb < %2.6f AND + StrainId1 = %d AND StrainId2 = %d + """ % (chrName, startMb, startMb+stepMb, strainId1, strainId2)) + SNPCounts.append(self.cursor.fetchone()[0]) + startMb += stepMb + + if (len(SNPCounts) > 0): + maxCount = max(SNPCounts) + if maxCount>0: + for i in range(xLeftOffset, xLeftOffset + plotWidth): + snpDensity = float(SNPCounts[i-xLeftOffset]*SNP_HEIGHT_MODIFIER/maxCount) + canvas.drawLine(i, drawSNPLocationY+(snpDensity)*zoom, i, drawSNPLocationY-(snpDensity)*zoom, color=self.SNP_COLOR, width=1) + + def drawMultiTraitName(self, fd, canvas, gifmap, showLocusForm, offset= (40, 120, 80, 10), zoom = 1, locLocation= None): + nameWidths = [] + yPaddingTop = 10 + colorFont=pid.Font(ttf="trebuc",size=12,bold=1) + if len(self.qtlresults) >20 and self.selectedChr > -1: + rightShift = 20 + rightShiftStep = 60 + rectWidth = 10 + else: + rightShift = 40 + rightShiftStep = 80 + rectWidth = 15 + + for k, thisTrait in enumerate(self.traitList): + thisLRSColor = self.colorCollection[k] + kstep = k % 4 + if k!=0 and kstep==0: + if nameWidths: + rightShiftStep = max(nameWidths[-4:]) + rectWidth + 20 + rightShift += rightShiftStep + + name = thisTrait.displayName() + nameWidth = canvas.stringWidth(name,font=colorFont) + nameWidths.append(nameWidth) + + canvas.drawRect(rightShift,yPaddingTop+kstep*15, rectWidth+rightShift,yPaddingTop+10+kstep*15, fillColor=thisLRSColor) + canvas.drawString(name,rectWidth+2+rightShift,yPaddingTop+10+kstep*15,font=colorFont,color=pid.black) + if thisTrait.db: + + COORDS = "%d,%d,%d,%d" %(rectWidth+2+rightShift,yPaddingTop+kstep*15,rectWidth+2+rightShift+nameWidth,yPaddingTop+10+kstep*15,) + HREF= "javascript:showDatabase3('%s','%s','%s','');" % (showLocusForm, thisTrait.db.name, thisTrait.name) + Areas = HT.Area(shape='rect',coords=COORDS,href=HREF) + gifmap.areas.append(Areas) + + + def drawLegendPanel(self, fd, canvas, offset= (40, 120, 80, 10), zoom = 1, locLocation= 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 + + + labelFont=pid.Font(ttf="trebuc",size=12, bold=1) + startPosY = 15 + stepPosY = 12 + canvas.drawLine(xLeftOffset,startPosY,xLeftOffset+32,startPosY,color=self.LRS_COLOR, width=2) + canvas.drawString(self.LRS_LOD, xLeftOffset+40,startPosY+5,font=labelFont,color=pid.black) + startPosY += stepPosY + + if self.additiveChecked: + startPosX = xLeftOffset + canvas.drawLine(startPosX,startPosY,startPosX+17,startPosY,color=self.ADDITIVE_COLOR_POSITIVE, width=2) + canvas.drawLine(startPosX+18,startPosY,startPosX+32,startPosY,color=self.ADDITIVE_COLOR_NEGATIVE, width=2) + canvas.drawString('Additive Effect',startPosX+40,startPosY+5,font=labelFont,color=pid.black) + + if self.genotype.type == 'intercross' and self.dominanceChecked: + startPosX = xLeftOffset + startPosY += stepPosY + canvas.drawLine(startPosX,startPosY,startPosX+17,startPosY,color=self.DOMINANCE_COLOR_POSITIVE, width=4) + canvas.drawLine(startPosX+18,startPosY,startPosX+35,startPosY,color=self.DOMINANCE_COLOR_NEGATIVE, width=4) + canvas.drawString('Dominance Effect',startPosX+42,startPosY+5,font=labelFont,color=pid.black) + + if self.haplotypeAnalystChecked: + startPosY += stepPosY + startPosX = xLeftOffset + canvas.drawLine(startPosX,startPosY,startPosX+17,startPosY,color=self.HAPLOTYPE_POSITIVE, width=4) + canvas.drawLine(startPosX+18,startPosY,startPosX+35,startPosY,color=self.HAPLOTYPE_NEGATIVE, width=4) + canvas.drawLine(startPosX+36,startPosY,startPosX+53,startPosY,color=self.HAPLOTYPE_HETEROZYGOUS, width=4) + canvas.drawLine(startPosX+54,startPosY,startPosX+67,startPosY,color=self.HAPLOTYPE_RECOMBINATION, width=4) + canvas.drawString('Haplotypes (Pat, Mat, Het, Unk)',startPosX+76,startPosY+5,font=labelFont,color=pid.black) + + if self.permChecked: + startPosY += stepPosY + startPosX = xLeftOffset + canvas.drawLine(startPosX, startPosY, startPosX + 32, startPosY, color=self.SIGNIFICANT_COLOR, width=self.SIGNIFICANT_WIDTH) + canvas.drawLine(startPosX, startPosY + stepPosY, startPosX + 32, startPosY + stepPosY, color=self.SUGGESTIVE_COLOR, width=self.SUGGESTIVE_WIDTH) + lod = 1 + if self.LRS_LOD == 'LOD': + lod = self.LODFACTOR + canvas.drawString('Significant %s = %2.2f' % (self.LRS_LOD, self.significance/lod),xLeftOffset+42,startPosY +5,font=labelFont,color=pid.black) + canvas.drawString('Suggestive %s = %2.2f' % (self.LRS_LOD, self.suggestive/lod),xLeftOffset+42,startPosY + 5 +stepPosY,font=labelFont,color=pid.black) + + + + labelFont=pid.Font(ttf="verdana",size=12) + labelColor = pid.black + if self.selectedChr == -1: + string1 = 'Mapping for Dataset: %s, mapping on All Chromosomes' % fd.RISet + else: + string1 = 'Mapping for Dataset: %s, mapping on Chromosome %s' % (fd.RISet,self.genotype[0].name) + if self.controlLocus: + string2 = 'Using %s as control' % self.controlLocus + 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 fd.identification: + identification = "Trait ID: %s" % fd.identification + canvas.drawString(identification,canvas.size[0] - xRightOffset-d,20,font=labelFont,color=labelColor) + + canvas.drawString(string1,canvas.size[0] - xRightOffset-d,35,font=labelFont,color=labelColor) + canvas.drawString(string2,canvas.size[0] - xRightOffset-d,50,font=labelFont,color=labelColor) + + + def drawGeneBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + if self.plotScale != 'physic' or self.selectedChr == -1 or not self.geneCol: + 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 + + yPaddingTop = yTopOffset + + displayStartInBases = startMb*self.kONE_MILLION + displayEndInBases = endMb*self.kONE_MILLION + + for gIndex, theGO in enumerate(self.geneCol): + geneNCBILink = 'http://www.ncbi.nlm.nih.gov/gene?term=%s' + if self.species == "mouse": + txStart = theGO["TxStart"] + txEnd = theGO["TxEnd"] + geneLength = (txEnd - txStart)*1000.0 + tenPercentLength = geneLength*0.0001 + SNPdensity = theGO["snpCount"]/geneLength + + exonStarts = map(float, theGO['exonStarts'].split(",")[:-1]) + exonEnds = map(float, theGO['exonEnds'].split(",")[:-1]) + cdsStart = theGO['cdsStart'] + cdsEnd = theGO['cdsEnd'] + accession = theGO['NM_ID'] + geneId = theGO['GeneID'] + geneSymbol = theGO["GeneSymbol"] + strand = theGO["Strand"] + exonCount = theGO["exonCount"] + + geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) + geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) #at least one pixel + + if (geneEndPix < xLeftOffset): + return; # this gene is not on the screen + elif (geneEndPix > xLeftOffset + plotWidth): + geneEndPix = xLeftOffset + plotWidth; # clip the last in-range gene + if (geneStartPix > xLeftOffset + plotWidth): + return; # we are outside the valid on-screen range, so stop drawing genes + elif (geneStartPix < xLeftOffset): + geneStartPix = xLeftOffset; # clip the first in-range gene + + #color the gene based on SNP density + + + #found earlier, needs to be recomputed as snps are added + + #always apply colors now, even if SNP Track not checked - Zach 11/24/2010 + + densities=[1.0000000000000001e-05, 0.094094033555233408, 0.3306166377816987, 0.88246026851027781, 2.6690084029581951, 4.1, 61.0] + if SNPdensity < densities[0]: + myColor = pid.black + elif SNPdensity < densities[1]: + myColor = pid.purple + elif SNPdensity < densities[2]: + myColor = pid.darkblue + elif SNPdensity < densities[3]: + myColor = pid.darkgreen + elif SNPdensity < densities[4]: + myColor = pid.gold + elif SNPdensity < densities[5]: + myColor = pid.darkorange + else: + myColor = pid.darkred + + outlineColor = myColor + fillColor = myColor + + TITLE = "Gene: %s (%s)\nFrom %2.3f to %2.3f Mb (%s)\nNum. exons: %d." % (geneSymbol, accession, float(txStart), float(txEnd), strand, exonCount) + # NL: 06-02-2011 Rob required to change this link for gene related + HREF=geneNCBILink %geneSymbol + + elif self.species == "rat": + exonStarts = [] + exonEnds = [] + txStart = theGO["TxStart"] + txEnd = theGO["TxEnd"] + cdsStart = theGO["TxStart"] + cdsEnd = theGO["TxEnd"] + geneId = theGO["GeneID"] + geneSymbol = theGO["GeneSymbol"] + strand = theGO["Strand"] + exonCount = 0 + + geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) + geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) #at least one pixel + + if (geneEndPix < xLeftOffset): + return; # this gene is not on the screen + elif (geneEndPix > xLeftOffset + plotWidth): + geneEndPix = xLeftOffset + plotWidth; # clip the last in-range gene + if (geneStartPix > xLeftOffset + plotWidth): + return; # we are outside the valid on-screen range, so stop drawing genes + elif (geneStartPix < xLeftOffset): + geneStartPix = xLeftOffset; # clip the first in-range gene + + outlineColor = pid.darkblue + fillColor = pid.darkblue + TITLE = "Gene: %s\nFrom %2.3f to %2.3f Mb (%s)" % (geneSymbol, float(txStart), float(txEnd), strand) + # NL: 06-02-2011 Rob required to change this link for gene related + HREF=geneNCBILink %geneSymbol + else: + outlineColor = pid.orange + fillColor = pid.orange + TITLE = "Gene: %s" % geneSymbol + + #Draw Genes + geneYLocation = yPaddingTop + (gIndex % self.NUM_GENE_ROWS) * self.EACH_GENE_HEIGHT*zoom + + if 1:#drawClickableRegions: + geneYLocation += self.UCSC_BAND_HEIGHT + self.BAND_SPACING + self.ENSEMBL_BAND_HEIGHT + self.BAND_SPACING + self.WEBQTL_BAND_HEIGHT + self.BAND_SPACING + else: + geneYLocation += self.BAND_SPACING + + #draw the detail view + if self.endMb - self.startMb <= self.DRAW_DETAIL_MB and geneEndPix - geneStartPix > self.EACH_GENE_ARROW_SPACING * 3: + utrColor = pid.Color(0.66, 0.66, 0.66) + arrowColor = pid.Color(0.7, 0.7, 0.7) + + #draw the line that runs the entire length of the gene + #canvas.drawString(str(geneStartPix), 300, 400) + canvas.drawLine(geneStartPix, geneYLocation + self.EACH_GENE_HEIGHT/2*zoom, geneEndPix, geneYLocation + self.EACH_GENE_HEIGHT/2*zoom, color=outlineColor, width=1) + + #draw the arrows + for xCoord in range(0, geneEndPix-geneStartPix): + + if (xCoord % self.EACH_GENE_ARROW_SPACING == 0 and xCoord + self.EACH_GENE_ARROW_SPACING < geneEndPix-geneStartPix) or xCoord == 0: + if strand == "+": + canvas.drawLine(geneStartPix + xCoord, geneYLocation, geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, geneYLocation +(self.EACH_GENE_HEIGHT / 2)*zoom, color=arrowColor, width=1) + canvas.drawLine(geneStartPix + xCoord, geneYLocation + self.EACH_GENE_HEIGHT*zoom, geneStartPix + xCoord+self.EACH_GENE_ARROW_WIDTH, geneYLocation + (self.EACH_GENE_HEIGHT / 2) * zoom, color=arrowColor, width=1) + else: + canvas.drawLine(geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, geneYLocation, geneStartPix + xCoord, geneYLocation +(self.EACH_GENE_HEIGHT / 2)*zoom, color=arrowColor, width=1) + canvas.drawLine(geneStartPix + xCoord + self.EACH_GENE_ARROW_WIDTH, geneYLocation + self.EACH_GENE_HEIGHT*zoom, geneStartPix + xCoord, geneYLocation + (self.EACH_GENE_HEIGHT / 2)*zoom, color=arrowColor, width=1) + + #draw the blocks for the exon regions + for i in range(0, len(exonStarts)): + exonStartPix = (exonStarts[i]-startMb)*plotXScale + xLeftOffset + exonEndPix = (exonEnds[i]-startMb)*plotXScale + xLeftOffset + if (exonStartPix < xLeftOffset): + exonStartPix = xLeftOffset + if (exonEndPix < xLeftOffset): + exonEndPix = xLeftOffset + if (exonEndPix > xLeftOffset + plotWidth): + exonEndPix = xLeftOffset + plotWidth + if (exonStartPix > xLeftOffset + plotWidth): + exonStartPix = xLeftOffset + plotWidth + canvas.drawRect(exonStartPix, geneYLocation, exonEndPix, (geneYLocation + self.EACH_GENE_HEIGHT*zoom), edgeColor = outlineColor, fillColor = fillColor) + + #draw gray blocks for 3' and 5' UTR blocks + if cdsStart and cdsEnd: + + utrStartPix = (txStart-startMb)*plotXScale + xLeftOffset + utrEndPix = (cdsStart-startMb)*plotXScale + xLeftOffset + if (utrStartPix < xLeftOffset): + utrStartPix = xLeftOffset + if (utrEndPix < xLeftOffset): + utrEndPix = xLeftOffset + if (utrEndPix > xLeftOffset + plotWidth): + utrEndPix = xLeftOffset + plotWidth + if (utrStartPix > xLeftOffset + plotWidth): + utrStartPix = xLeftOffset + plotWidth + canvas.drawRect(utrStartPix, geneYLocation, utrEndPix, (geneYLocation+self.EACH_GENE_HEIGHT*zoom), edgeColor=utrColor, fillColor =utrColor) + + if self.DRAW_UTR_LABELS and self.endMb - self.startMb <= self.DRAW_UTR_LABELS_MB: + if strand == "-": + labelText = "3'" + else: + labelText = "5'" + canvas.drawString(labelText, utrStartPix-9, geneYLocation+self.EACH_GENE_HEIGHT, pid.Font(face="helvetica", size=2)) + + #the second UTR region + + utrStartPix = (cdsEnd-startMb)*plotXScale + xLeftOffset + utrEndPix = (txEnd-startMb)*plotXScale + xLeftOffset + if (utrStartPix < xLeftOffset): + utrStartPix = xLeftOffset + if (utrEndPix < xLeftOffset): + utrEndPix = xLeftOffset + if (utrEndPix > xLeftOffset + plotWidth): + utrEndPix = xLeftOffset + plotWidth + if (utrStartPix > xLeftOffset + plotWidth): + utrStartPix = xLeftOffset + plotWidth + canvas.drawRect(utrStartPix, geneYLocation, utrEndPix, (geneYLocation+self.EACH_GENE_HEIGHT*zoom), edgeColor=utrColor, fillColor =utrColor) + + if self.DRAW_UTR_LABELS and self.endMb - self.startMb <= self.DRAW_UTR_LABELS_MB: + if tstrand == "-": + labelText = "5'" + else: + labelText = "3'" + canvas.drawString(labelText, utrEndPix+2, geneYLocation+self.EACH_GENE_HEIGHT, pid.Font(face="helvetica", size=2)) + + #draw the genes as rectangles + else: + canvas.drawRect(geneStartPix, geneYLocation, geneEndPix, (geneYLocation + self.EACH_GENE_HEIGHT*zoom), edgeColor = outlineColor, fillColor = fillColor) + + COORDS = "%d, %d, %d, %d" %(geneStartPix, geneYLocation, geneEndPix, (geneYLocation + self.EACH_GENE_HEIGHT)) + # NL: 06-02-2011 Rob required to display NCBI info in a new window + gifmap.areas.append(HT.Area(shape='rect',coords=COORDS,href=HREF, title=TITLE,target="_blank")) + +## BEGIN HaplotypeAnalyst + def drawHaplotypeBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + if self.plotScale != 'physic' or self.selectedChr == -1 or not self.geneCol: + return + + + fpText = open(os.path.join(webqtlConfig.TMPDIR, "hallo") + '.txt','wb') + + clickableRegionLabelFont=pid.Font(ttf="verdana", size=9, bold=0) + + xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset + plotWidth = canvas.size[0] - xLeftOffset - xRightOffset + plotHeight = canvas.size[1] - yTopOffset - yBottomOffset + yZero = canvas.size[1] - yBottomOffset + fontZoom = zoom + widthMultiplier = 1 + + yPaddingTop = yTopOffset + + exprdrawn = 0 + + thisTrait = self.traitList[0] + _strains, _vals, _vars = thisTrait.exportInformative() + + smd=[] + for ii, _val in enumerate(_vals): + temp = GeneralObject(name=_strains[ii], value=_val) + smd.append(temp) + + smd.sort(lambda A, B: cmp(A.value, B.value)) + + bxdlist=list(self.genotype.prgy) + + oldgeneEndPix = -1 + #Initializing plotRight, error before + plotRight = xRightOffset + +#### find out PlotRight + for i, _locus in enumerate(self.genotype[0]): + txStart = self.genotype[0][i].Mb + txEnd = self.genotype[0][i].Mb + + geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 + geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) - 0 + + drawit = 1 + if (geneStartPix < xLeftOffset): + drawit = 0; + if (geneStartPix > xLeftOffset + plotWidth): + drawit = 0; + + if drawit == 1: + + if self.genotype[0][i].name != " - " : + + plotRight = geneEndPix + 4 + + + +#### end find out PlotRight + + firstGene = 1 + lastGene = 0 + + #Sets the length to the length of the strain list. Beforehand, "oldgeno = self.genotype[0][i].genotype" + #was the only place it was initialized, which worked as long as the very start (startMb = None/0) wasn't being mapped. + #Now there should always be some value set for "oldgeno" - Zach 12/14/2010 + oldgeno = [None]*len(self.strainlist) + + for i, _locus in enumerate(self.genotype[0]): + txStart = self.genotype[0][i].Mb + txEnd = self.genotype[0][i].Mb + + geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 + geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) + 0 + + if oldgeneEndPix >= xLeftOffset: + drawStart = oldgeneEndPix + 4 + else: + drawStart = xLeftOffset + 3 + + drawEnd = plotRight - 9 + + drawit = 1 + + if (geneStartPix < xLeftOffset): + if firstGene == 1: + drawit = 1 + else: + drawit = 0 + + elif (geneStartPix > (xLeftOffset + plotWidth - 3)): + if lastGene == 0: + drawit = 1 + drawEnd = xLeftOffset + plotWidth - 6 + lastGene = 1 + else: + break + + else: + firstGene = 0 + drawit = 1 + + if drawit == 1: + myColor = pid.darkblue + outlineColor = myColor + fillColor = myColor + + maxind=0 + + #Draw Genes + + geneYLocation = yPaddingTop + self.NUM_GENE_ROWS * (self.EACH_GENE_HEIGHT)*zoom + + if 1:#drawClickableRegions: + geneYLocation += self.UCSC_BAND_HEIGHT + self.BAND_SPACING + self.ENSEMBL_BAND_HEIGHT + self.BAND_SPACING + self.WEBQTL_BAND_HEIGHT + self.BAND_SPACING + else: + geneYLocation += self.BAND_SPACING + + if self.genotype[0][i].name != " - " : + + if (firstGene == 1) and (lastGene != 1): + oldgeneEndPix = drawStart = xLeftOffset + oldgeno = self.genotype[0][i].genotype + continue + + for j,_geno in enumerate (self.genotype[0][i].genotype): + + plotbxd=0 + for item in smd: + if item.name == bxdlist[j]: + plotbxd=1 + + if (plotbxd == 1): + ind = 0 + counter = 0 + for item in smd: + counter = counter + 1 + if item.name == bxdlist[j]: + ind = counter + maxind=max(ind,maxind) + + # lines + if (oldgeno[j] == -1 and _geno == -1): + mylineColor = self.HAPLOTYPE_NEGATIVE + elif (oldgeno[j] == 1 and _geno == 1): + mylineColor = self.HAPLOTYPE_POSITIVE + elif (oldgeno[j] == 0 and _geno == 0): + mylineColor = self.HAPLOTYPE_HETEROZYGOUS + else: + mylineColor = self.HAPLOTYPE_RECOMBINATION # XZ: Unknown + + canvas.drawLine(drawStart, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, drawEnd, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, color = mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) + + fillColor=pid.black + outlineColor=pid.black + if lastGene == 0: + canvas.drawRect(geneStartPix, geneYLocation+2*ind*self.EACH_GENE_HEIGHT*zoom, geneEndPix, geneYLocation+2*ind*self.EACH_GENE_HEIGHT+ 2*self.EACH_GENE_HEIGHT*zoom, edgeColor = outlineColor, fillColor = fillColor) + + + COORDS = "%d, %d, %d, %d" %(geneStartPix, geneYLocation+ind*self.EACH_GENE_HEIGHT, geneEndPix+1, (geneYLocation + ind*self.EACH_GENE_HEIGHT)) + TITLE = "Strain: %s, marker (%s) \n Position %2.3f Mb." % (bxdlist[j], self.genotype[0][i].name, float(txStart)) + HREF = '' + gifmap.areas.append(HT.Area(shape='rect',coords=COORDS,href=HREF, title=TITLE)) + + # if there are no more markers in a chromosome, the plotRight value calculated above will be before the plotWidth + # resulting in some empty space on the right side of the plot area. This draws an "unknown" bar from plotRight to the edge. + if (plotRight < (xLeftOffset + plotWidth - 3)) and (lastGene == 0): + drawEnd = xLeftOffset + plotWidth - 6 + mylineColor = self.HAPLOTYPE_RECOMBINATION + canvas.drawLine(plotRight, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, drawEnd, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, color = mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) + + + if lastGene == 0: + canvas.drawString("%s" % (self.genotype[0][i].name), geneStartPix , geneYLocation+17+2*maxind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black, angle=-90) + + oldgeneEndPix = geneEndPix; + oldgeno = self.genotype[0][i].genotype + firstGene = 0 + else: + lastGene = 0 + + for j,_geno in enumerate (self.genotype[0][1].genotype): + + plotbxd=0 + for item in smd: + if item.name == bxdlist[j]: + plotbxd=1 + + if (plotbxd == 1): + + ind = 0 + counter = 0 + expr = 0 + for item in smd: + counter = counter + 1 + if item.name == bxdlist[j]: + ind = counter + expr = item.value + + # Place where font is hardcoded + canvas.drawString("%s" % (bxdlist[j]), (xLeftOffset + plotWidth + 10) , geneYLocation+8+2*ind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black) + canvas.drawString("%2.2f" % (expr), (xLeftOffset + plotWidth + 60) , geneYLocation+8+2*ind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black) + + fpText.close() + +## END HaplotypeAnalyst + + def drawClickBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): + if self.plotScale != 'physic' or self.selectedChr == -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 + + # only draw this many clickable regions (if you set it higher, you get more precision in clicking, + # but it makes the HTML huge, and takes forever to render the page in the first place) + # Draw the bands that you can click on to go to UCSC / Ensembl + MAX_CLICKABLE_REGION_DIVISIONS = 100 + clickableRegionLabelFont=pid.Font(ttf="verdana", size=9, bold=0) + pixelStep = max(5, int(float(plotWidth)/MAX_CLICKABLE_REGION_DIVISIONS)) + # pixelStep: every N pixels, we make a new clickable area for the user to go to that area of the genome. + + numBasesCurrentlyOnScreen = self.kONE_MILLION*abs(startMb - endMb) # Number of bases on screen now + flankingWidthInBases = int ( min( (float(numBasesCurrentlyOnScreen) / 2.0), (5*self.kONE_MILLION) ) ) + webqtlZoomWidth = numBasesCurrentlyOnScreen / 16.0 + # Flanking width should be such that we either zoom in to a 10 million base region, or we show the clicked region at the same scale as we are currently seeing. + + currentChromosome = self.genotype[0].name + i = 0 + for pixel in range(xLeftOffset, xLeftOffset + plotWidth, pixelStep): + + calBase = self.kONE_MILLION*(startMb + (endMb-startMb)*(pixel-xLeftOffset-0.0)/plotWidth) + + xBrowse1 = pixel + xBrowse2 = min(xLeftOffset + plotWidth, (pixel + pixelStep - 1)) + + paddingTop = yTopOffset + ucscPaddingTop = paddingTop + self.WEBQTL_BAND_HEIGHT + self.BAND_SPACING + ensemblPaddingTop = ucscPaddingTop + self.UCSC_BAND_HEIGHT + self.BAND_SPACING + + WEBQTL_COORDS = "%d, %d, %d, %d" % (xBrowse1, paddingTop, xBrowse2, (paddingTop+self.WEBQTL_BAND_HEIGHT)) + bandWidth = xBrowse2 - xBrowse1 + WEBQTL_HREF = "javascript:centerIntervalMapOnRange2('%s', %f, %f, document.changeViewForm)" % (currentChromosome, max(0, (calBase-webqtlZoomWidth))/1000000.0, (calBase+webqtlZoomWidth)/1000000.0) + + WEBQTL_TITLE = "Click to view this section of the genome in WebQTL" + gifmap.areas.append(HT.Area(shape='rect',coords=WEBQTL_COORDS,href=WEBQTL_HREF, title=WEBQTL_TITLE)) + canvas.drawRect(xBrowse1, paddingTop, xBrowse2, (paddingTop + self.WEBQTL_BAND_HEIGHT), edgeColor=self.CLICKABLE_WEBQTL_REGION_COLOR, fillColor=self.CLICKABLE_WEBQTL_REGION_COLOR) + canvas.drawLine(xBrowse1, paddingTop, xBrowse1, (paddingTop + self.WEBQTL_BAND_HEIGHT), color=self.CLICKABLE_WEBQTL_REGION_OUTLINE_COLOR) + + UCSC_COORDS = "%d, %d, %d, %d" %(xBrowse1, ucscPaddingTop, xBrowse2, (ucscPaddingTop+self.UCSC_BAND_HEIGHT)) + if self.species == "mouse": + UCSC_HREF = "http://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=chr%s:%d-%d&hgt.customText=%s/snp/chr%s" % (self._ucscDb, currentChromosome, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases, webqtlConfig.PORTADDR, currentChromosome) + else: + UCSC_HREF = "http://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=chr%s:%d-%d" % (self._ucscDb, currentChromosome, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + UCSC_TITLE = "Click to view this section of the genome in the UCSC Genome Browser" + gifmap.areas.append(HT.Area(shape='rect',coords=UCSC_COORDS,href=UCSC_HREF, title=UCSC_TITLE)) + canvas.drawRect(xBrowse1, ucscPaddingTop, xBrowse2, (ucscPaddingTop+self.UCSC_BAND_HEIGHT), edgeColor=self.CLICKABLE_UCSC_REGION_COLOR, fillColor=self.CLICKABLE_UCSC_REGION_COLOR) + canvas.drawLine(xBrowse1, ucscPaddingTop, xBrowse1, (ucscPaddingTop+self.UCSC_BAND_HEIGHT), color=self.CLICKABLE_UCSC_REGION_OUTLINE_COLOR) + + ENSEMBL_COORDS = "%d, %d, %d, %d" %(xBrowse1, ensemblPaddingTop, xBrowse2, (ensemblPaddingTop+self.ENSEMBL_BAND_HEIGHT)) + if self.species == "mouse": + ENSEMBL_HREF = "http://www.ensembl.org/Mus_musculus/contigview?highlight=&chr=%s&vc_start=%d&vc_end=%d&x=35&y=12" % (currentChromosome, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + else: + ENSEMBL_HREF = "http://www.ensembl.org/Rattus_norvegicus/contigview?chr=%s&start=%d&end=%d" % (currentChromosome, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + ENSEMBL_TITLE = "Click to view this section of the genome in the Ensembl Genome Browser" + gifmap.areas.append(HT.Area(shape='rect',coords=ENSEMBL_COORDS,href=ENSEMBL_HREF, title=ENSEMBL_TITLE)) + canvas.drawRect(xBrowse1, ensemblPaddingTop, xBrowse2, (ensemblPaddingTop+self.ENSEMBL_BAND_HEIGHT), edgeColor=self.CLICKABLE_ENSEMBL_REGION_COLOR, fillColor=self.CLICKABLE_ENSEMBL_REGION_COLOR) + canvas.drawLine(xBrowse1, ensemblPaddingTop, xBrowse1, (ensemblPaddingTop+self.ENSEMBL_BAND_HEIGHT), color=self.CLICKABLE_ENSEMBL_REGION_OUTLINE_COLOR) + # end for + + canvas.drawString("Click to view the corresponding section of the genome in an 8x expanded WebQTL map", (xLeftOffset + 10), paddingTop + self.WEBQTL_BAND_HEIGHT/2, font=clickableRegionLabelFont, color=self.CLICKABLE_WEBQTL_TEXT_COLOR) + canvas.drawString("Click to view the corresponding section of the genome in the UCSC Genome Browser", (xLeftOffset + 10), ucscPaddingTop + self.UCSC_BAND_HEIGHT/2, font=clickableRegionLabelFont, color=self.CLICKABLE_UCSC_TEXT_COLOR) + canvas.drawString("Click to view the corresponding section of the genome in the Ensembl Genome Browser", (xLeftOffset+10), ensemblPaddingTop + self.ENSEMBL_BAND_HEIGHT/2, font=clickableRegionLabelFont, color=self.CLICKABLE_ENSEMBL_TEXT_COLOR) + + #draw the gray text + chrFont = pid.Font(ttf="verdana", size=26, bold=1) + traitFont = pid.Font(ttf="verdana", size=14, bold=0) + chrX = xLeftOffset + plotWidth - 2 - canvas.stringWidth("Chr %s" % currentChromosome, font=chrFont) + canvas.drawString("Chr %s" % currentChromosome, chrX, ensemblPaddingTop-5, font=chrFont, color=pid.gray) + traitX = chrX - 28 - canvas.stringWidth("database", font=traitFont) + # end of drawBrowserClickableRegions + + pass + + 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 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") + + 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) + if self.permChecked and not self.multipleInterval: + self.significance = min(self.significance, webqtlConfig.MAXLRS) + self.suggestive = min(self.suggestive, 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 + + + 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 + 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) + 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)) + 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] + for j, _chr in enumerate(self.genotype): + 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)) + 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 + canvas.drawPolygon(LRSCoordXY,edgeColor=thisLRSColor,closed=0, edgeWidth=lrsEdgeWidth, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + if not self.multipleInterval and self.additiveChecked: + plusColor = self.ADDITIVE_COLOR_POSITIVE + minusColor = self.ADDITIVE_COLOR_NEGATIVE + for k, aPoint in enumerate(AdditiveCoordXY): + if k > 0: + Xc0, Yc0 = AdditiveCoordXY[k-1] + Xc, Yc = aPoint + if (Yc0-yZero)*(Yc-yZero) < 0: + if Xc == Xc0: #genotype , locus distance is 0 + Xcm = Xc + else: + Xcm = (yZero-Yc0)/((Yc-Yc0)/(Xc-Xc0)) +Xc0 + if Yc0 < yZero: + canvas.drawLine(Xc0, Yc0, Xcm, yZero, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + canvas.drawLine(Xcm, yZero, Xc, yZero-(Yc-yZero), color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + canvas.drawLine(Xc0, yZero - (Yc0-yZero), Xcm, yZero, color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + canvas.drawLine(Xcm, yZero, Xc, Yc, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + elif (Yc0-yZero)*(Yc-yZero) > 0: + if Yc < yZero: + canvas.drawLine(Xc0, Yc0, Xc, Yc, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + canvas.drawLine(Xc0, yZero - (Yc0-yZero), Xc, yZero - (Yc-yZero), color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + minYc = min(Yc-yZero, Yc0-yZero) + if minYc < 0: + canvas.drawLine(Xc0, Yc0, Xc, Yc, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + canvas.drawLine(Xc0, yZero - (Yc0-yZero), Xc, yZero - (Yc-yZero), color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + if not self.multipleInterval and INTERCROSS and self.dominanceChecked: + plusColor = self.DOMINANCE_COLOR_POSITIVE + minusColor = self.DOMINANCE_COLOR_NEGATIVE + for k, aPoint in enumerate(DominanceCoordXY): + if k > 0: + Xc0, Yc0 = DominanceCoordXY[k-1] + Xc, Yc = aPoint + if (Yc0-yZero)*(Yc-yZero) < 0: + if Xc == Xc0: #genotype , locus distance is 0 + Xcm = Xc + else: + Xcm = (yZero-Yc0)/((Yc-Yc0)/(Xc-Xc0)) +Xc0 + if Yc0 < yZero: + canvas.drawLine(Xc0, Yc0, Xcm, yZero, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + canvas.drawLine(Xcm, yZero, Xc, yZero-(Yc-yZero), color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + canvas.drawLine(Xc0, yZero - (Yc0-yZero), Xcm, yZero, color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + canvas.drawLine(Xcm, yZero, Xc, Yc, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + elif (Yc0-yZero)*(Yc-yZero) > 0: + if Yc < yZero: + canvas.drawLine(Xc0, Yc0, Xc, Yc, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + canvas.drawLine(Xc0, yZero - (Yc0-yZero), Xc, yZero - (Yc-yZero), color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + minYc = min(Yc-yZero, Yc0-yZero) + if minYc < 0: + canvas.drawLine(Xc0, Yc0, Xc, Yc, color=plusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + else: + canvas.drawLine(Xc0, yZero - (Yc0-yZero), Xc, yZero - (Yc-yZero), color=minusColor, width=1, clipX=(xLeftOffset, xLeftOffset + plotWidth)) + startPosX += (self.ChrLengthDistList[j]+self.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 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 + + def calculateAllResult(self, fd): + + weightedRegression = fd.formdata.getvalue('applyVarianceSE') + + self.genotype = self.genotype.addinterval() + resultSlice = [] + controlGeno = [] + + if self.multipleInterval: + self.suggestive = 0 + self.significance = 0 + if self.selectedChr > -1: + self.genotype.chromosome = [self.genotype[self.selectedChr]] + else: + #single interval mapping + try: + self.suggestive = float(fd.formdata.getvalue('permSuggestive')) + self.significance = float(fd.formdata.getvalue('permSignificance')) + except: + self.suggestive = None + self.significance = None + + _strains, _vals, _vars = self.traitList[0].exportInformative(weightedRegression) + + if webqtlUtil.ListNotNull(_vars): + pass + else: + weightedRegression = 0 + _strains, _vals, _vars = self.traitList[0].exportInformative() + + ##locate genotype of control Locus + if self.controlLocus: + controlGeno2 = [] + _FIND = 0 + for _chr in self.genotype: + for _locus in _chr: + if _locus.name == self.controlLocus: + controlGeno2 = _locus.genotype + _FIND = 1 + break + if _FIND: + break + if controlGeno2: + _prgy = list(self.genotype.prgy) + for _strain in _strains: + _idx = _prgy.index(_strain) + controlGeno.append(controlGeno2[_idx]) + else: + return "The control marker you selected is not in the genofile." + + + if self.significance and self.suggestive: + pass + else: + if self.permChecked: + if weightedRegression: + self.LRSArray = self.genotype.permutation(strains = _strains, trait = _vals, + variance = _vars, nperm=fd.nperm) + else: + self.LRSArray = self.genotype.permutation(strains = _strains, trait = _vals, + nperm=fd.nperm) + self.suggestive = self.LRSArray[int(fd.nperm*0.37-1)] + self.significance = self.LRSArray[int(fd.nperm*0.95-1)] + + else: + self.suggestive = 9.2 + self.significance = 16.1 + + #calculating bootstrap + #from now on, genotype could only contain a single chromosome + #permutation need to be performed genome wide, this is not the case for bootstrap + + #due to the design of qtlreaper, composite regression need to be performed genome wide + if not self.controlLocus and self.selectedChr > -1: + self.genotype.chromosome = [self.genotype[self.selectedChr]] + elif self.selectedChr > -1: #self.controlLocus and self.selectedChr > -1 + lociPerChr = map(len, self.genotype) + resultSlice = reduce(lambda X, Y: X+Y, lociPerChr[:self.selectedChr], 0) + resultSlice = [resultSlice,resultSlice+lociPerChr[self.selectedChr]] + else: + pass + + #calculate QTL for each trait + self.qtlresults = [] + + for thisTrait in self.traitList: + _strains, _vals, _vars = thisTrait.exportInformative(weightedRegression) + if self.controlLocus: + if weightedRegression: + qtlresult = self.genotype.regression(strains = _strains, trait = _vals, + variance = _vars, control = self.controlLocus) + else: + qtlresult = self.genotype.regression(strains = _strains, trait = _vals, + control = self.controlLocus) + if resultSlice: + qtlresult = qtlresult[resultSlice[0]:resultSlice[1]] + else: + if weightedRegression: + qtlresult = self.genotype.regression(strains = _strains, trait = _vals, + variance = _vars) + else: + qtlresult = self.genotype.regression(strains = _strains, trait = _vals) + + self.qtlresults.append(qtlresult) + + if not self.multipleInterval: + if self.controlLocus and self.selectedChr > -1: + self.genotype.chromosome = [self.genotype[self.selectedChr]] + + if self.bootChecked: + if controlGeno: + self.bootResult = self.genotype.bootstrap(strains = _strains, trait = _vals, + control = controlGeno, nboot=fd.nboot) + elif weightedRegression: + self.bootResult = self.genotype.bootstrap(strains = _strains, trait = _vals, + variance = _vars, nboot=fd.nboot) + else: + self.bootResult = self.genotype.bootstrap(strains = _strains, trait = _vals, + nboot=fd.nboot) + else: + self.bootResult = [] + + def calculatePValue (self, query_LRS, permutation_LRS_array): + query_index = len(permutation_LRS_array) + for i, one_permutation_LRS in enumerate(permutation_LRS_array): + if one_permutation_LRS >= query_LRS: + query_index = i + break + + P_value = float(len(permutation_LRS_array) - query_index) / len(permutation_LRS_array) + + return P_value + + def helpButton(self, anchor): + return HT.Href(self.HELP_PAGE_REF + '#%s' % anchor, self.qmarkImg, target=self.HELP_WINDOW_NAME) + + + def traitRemapTD(self, cursor, fd): + chrList = HT.Select(name="chromosomes", data=self.ChrList, selected=[self.selectedChr], + onChange="chrLength(this.form.chromosomes.value, this.form.scale.value, this.form, self.ChrLengthMbList);") + + physicOnly = HT.Span(' *', Class="cr") + + showSNPCheck = HT.Input(type='checkbox', Class='checkbox', name='showSNP', value='ON', checked=self.SNPChecked) + showSNPText = HT.Span('SNP Track ', self.helpButton("snpSeismograph"), Class="fs12 fwn") + + showGenesCheck = HT.Input(type='checkbox', Class='checkbox', name='showGenes', value='ON', checked=self.geneChecked) + showGenesText = HT.Span('Gene Track', Class="fs12 fwn") + + showIntervalAnalystCheck = HT.Input(type='checkbox', Class='checkbox', name='intervalAnalystCheck', value='ON', checked=self.intervalAnalystChecked) + showIntervalAnalystText = HT.Span('Interval Analyst', Class="fs12 fwn") +## BEGIN HaplotypeAnalyst + + showHaplotypeAnalystCheck = HT.Input(type='checkbox', Class='checkbox', name='haplotypeAnalystCheck', value='ON', checked=self.haplotypeAnalystChecked) + showHaplotypeAnalystText = HT.Span('Haplotype Analyst', Class="fs12 fwn") +## END HaplotypeAnalyst + + leftBox = HT.Input(type="text", name="startMb", size=10) + rightBox = HT.Input(type="text", name="endMb", size=10) + if self.selectedChr > -1 and self.plotScale=='physic': + leftBox.value = self.startMb + rightBox.value = self.endMb + + scaleBox = HT.Select(name="scale", onChange="chrLength(this.form.chromosomes.value, this.form.scale.value, this.form, self.ChrLengthMbList);") + scaleBox.append(("Genetic", "morgan")) + if fd.genotype.Mbmap: + scaleBox.append(("Physical", "physic")) + scaleBox.selected.append(self.plotScale) + + permBox = HT.Input(type="checkbox", name="permCheck", value='ON', checked=self.permChecked, Class="checkbox") + permText = HT.Span("Permutation Test ", self.helpButton("Permutation"), Class="fs12 fwn") + bootBox = HT.Input(type="checkbox", name="bootCheck", value='ON', checked=self.bootChecked, Class="checkbox") + bootText = HT.Span("Bootstrap Test ", self.helpButton("bootstrap"), Class="fs12 fwn") + additiveBox = HT.Input(type="checkbox", name="additiveCheck", value='ON', checked=self.additiveChecked, Class="checkbox") + additiveText = HT.Span("Allele Effects ", self.helpButton("additive"), Class="fs12 fwn") + dominanceBox = HT.Input(type="checkbox", name="dominanceCheck", value='ON', checked=self.dominanceChecked, Class="checkbox") + dominanceText = HT.Span("Dominance Effects ", self.helpButton("Dominance"), Class="fs12 fwn") + + lrsRadio = HT.Input(type="radio", name="LRSCheck", value='LRS', checked = (self.LRS_LOD == "LRS")) + lodRadio = HT.Input(type="radio", name="LRSCheck", value='LOD', checked = (self.LRS_LOD != "LRS")) + lrsMaxBox = HT.Input(type="text", name="lrsMax", value=self.lrsMax, size=3) + widthBox = HT.Input(type="text", name="graphWidth", size=5, value=str(self.graphWidth)) + legendBox = HT.Input(type="checkbox", name="viewLegend", value='ON', checked=self.legendChecked, Class="checkbox") + legendText = HT.Span("Legend", Class="fs12 fwn") + + draw2XBox = HT.Input(type="checkbox", name="draw2X", value='ON', Class="checkbox") + draw2XText = HT.Span("2X Plot", Class="fs12 fwn") + + regraphButton = HT.Input(type="button", Class="button", onClick="javascript:databaseFunc(this.form,'showIntMap');", value="Remap") + + controlsForm = HT.Form(cgi= os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), enctype="multipart/form-data", name="changeViewForm", submit=HT.Input(type='hidden')) + controlsTable = HT.TableLite(border=0) + innerControlsTable = HT.TableLite(border=0) + if self.selectedChr == -1: + minimumGraphWidth = self.MULT_GRAPH_MIN_WIDTH + else: + minimumGraphWidth = self.GRAPH_MIN_WIDTH + + innerControlsTable.append( + HT.TR(HT.TD("Chr: ", Class="fs12 fwb ffl"),HT.TD(chrList, scaleBox, regraphButton)), + HT.TR(HT.TD("View: ", Class="fs12 fwb ffl"),HT.TD(leftBox, " to ", rightBox, "Mb", physicOnly, NOWRAP="on")), + HT.TR(HT.TD("Units: ", Class="fs12 fwb ffl"), HT.TD(lrsRadio, "LRS ", lodRadio, "LOD ", self.helpButton("LOD"))), + HT.TR(HT.TD(" ", Class="fs12 fwb ffl"), HT.TD(lrsMaxBox, "units on Y-axis (0 for default)", Class="fs11 fwn")), + HT.TR(HT.TD("Width: ", Class="fs12 fwb ffl"), HT.TD(widthBox, "pixels (minimum=%d)" % minimumGraphWidth, Class="fs11 fwn ")) + ) + #whether SNP + cursor.execute("Select Species.Id from SnpAll, Species where SnpAll.SpeciesId = Species.Id and Species.Name = %s limit 1", self.species) + SNPorNot = cursor.fetchall() + #Whether Gene + cursor.execute("Select Species.Id from GeneList, Species where GeneList.SpeciesId = Species.Id and Species.Name = %s limit 1", self.species) + GeneorNot = cursor.fetchall() + + if self.multipleInterval: + optionPanel = HT.TD(valign="top", NOWRAP="on") + else: + optionPanel = HT.TD(permBox, permText, HT.BR(), bootBox, bootText, HT.BR(), additiveBox, additiveText, HT.BR(), valign="top", NOWRAP="on") + #whether dominance + if self.genotype.type == 'intercross': + optionPanel.append(dominanceBox, dominanceText, HT.BR()) + if SNPorNot: + optionPanel.append(showSNPCheck, showSNPText, physicOnly, HT.BR()) + if GeneorNot: + optionPanel.append(showGenesCheck, showGenesText, physicOnly, HT.BR(), + showIntervalAnalystCheck, showIntervalAnalystText, physicOnly, HT.BR()) +## BEGIN HaplotypeAnalyst + optionPanel.append(showHaplotypeAnalystCheck, showHaplotypeAnalystText, physicOnly, HT.BR()) +## END HaplotypeAnalyst + optionPanel.append(legendBox, legendText, HT.BR(),draw2XBox, draw2XText) + controlsTable.append( + HT.TR(HT.TD(innerControlsTable, valign="top"), + HT.TD(" ", width=15), optionPanel), + HT.TR(HT.TD(physicOnly, " only apply to single chromosome physical mapping", align="Center", colspan=3, Class="fs11 fwn")) + ) + controlsForm.append(controlsTable) + + controlsForm.append(HT.Input(name="permSuggestive", value=self.suggestive, type="hidden")) + controlsForm.append(HT.Input(name="permSignificance", value=self.significance, type="hidden")) + +## BEGIN HaplotypeAnalyst #### haplotypeAnalystCheck added below +## END HaplotypeAnalyst + + for key in fd.formdata.keys(): + if key == "searchResult" and type([]) == type(fd.formdata.getvalue(key)): + controlsForm.append(HT.Input(name=key, value=string.join(fd.formdata.getvalue(key), "\t"), type="hidden")) + elif key not in ("endMb", "startMb", "chromosomes", "scale", "permCheck", "bootCheck", "additiveCheck", "dominanceCheck", + "LRSCheck", "intervalAnalystCheck", "haplotypeAnalystCheck", "lrsMax", "graphWidth", "viewLegend", 'showGenes', 'showSNP', 'draw2X', + 'permSuggestive', "permSignificance"): + controlsForm.append(HT.Input(name=key, value=fd.formdata.getvalue(key), type="hidden")) + else: + pass + + # updated by NL, move function changeView(i) to webqtl.js and change it to function changeView(i, Chr_Mb_list) + # move function chrLength(a, b, c) to webqtl.js and change it to function chrLength(a, b, c, Chr_Mb_list) + self.dict['js1'] = '' + + return HT.TD(controlsForm, Class="doubleBorder", width=400) + + def traitInfoTD(self, fd): + if self.selectedChr == -1: + intMapHeading = HT.Paragraph('Map Viewer: Whole Genome', Class="title") + else: + intMapHeading = HT.Paragraph('Map Viewer: Chr %s' % self.genotype[0].name, Class="title") + + heading2 = HT.Paragraph(HT.Strong('Population: '), "%s %s" % (self.species.title(), fd.RISet) , HT.BR()) + #Trait is from an database + if self.traitList and self.traitList[0] and self.traitList[0].db: + #single trait + if len(self.traitList) == 1: + thisTrait = self.traitList[0] + trait_url = HT.Href(text=thisTrait.name, url = os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE) + \ + "?FormID=showDatabase&incparentsf1=1&database=%s&ProbeSetID=%s" % (thisTrait.db.name, thisTrait.name), \ + target='_blank', Class="normalsize") + heading2.append(HT.Strong("Database: "), HT.Href(text=thisTrait.db.fullname, url = webqtlConfig.INFOPAGEHREF % thisTrait.db.name ,\ + target='_blank',Class="normalsize"),HT.BR()) + if thisTrait.db.type == 'ProbeSet': + heading2.append(HT.Strong('Trait ID: '), trait_url, HT.BR(), + HT.Strong("Gene Symbol: "), HT.Italic('%s' % thisTrait.symbol,id="green"),HT.BR()) + if thisTrait.chr and thisTrait.mb: + heading2.append(HT.Strong("Location: "), 'Chr %s @ %s Mb' % (thisTrait.chr, thisTrait.mb)) + elif thisTrait.db.type == 'Geno': + heading2.append(HT.Strong('Locus : '), trait_url, HT.BR()) + if thisTrait.chr and thisTrait.mb: + heading2.append(HT.Strong("Location: "), 'Chr %s @ %s Mb' % (thisTrait.chr, thisTrait.mb)) + elif thisTrait.db.type == 'Publish': + heading2.append(HT.Strong('Record ID: '), trait_url, HT.BR()) + else: + pass + else: + heading2.append(HT.Strong("Traits: "), "Multiple Traits") + else: + heading2.append(HT.Strong("Trait Name: "), fd.identification) + return HT.TD(intMapHeading, heading2, valign="top") + + def geneTables(self, geneCol, refGene=None): + SNPLink = 0 + tableIterationsCnt = 0 + if self.species == "mouse": + geneTableMain = HT.TableLite(border=0, width=1280, cellpadding=0, cellspacing=0, Class="collap") + columns = HT.TR(HT.TD(' ', Class="fs14 fwb ffl b1 cw cbrb"), + HT.TD('Gene Symbol',Class="fs14 fwb ffl b1 cw cbrb", colspan=2), + HT.TD('Mb Start (mm9)',Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Gene Length (Kb)',Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD("SNP Count", Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD("SNP Density (SNP/Kb)", Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Avg. Expr. Value', Class="fs14 fwb ffl b1 cw cbrb", width=1), # Max of all transcripts + HT.TD('Human Chr',Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Mb Start (hg19)', Class="fs14 fwb ffl b1 cw cbrb", width=1)) + + # http://compbio.uthsc.edu/miRSNP/ + + td_pd = HT.TD(Class="fs14 fwb ffl b1 cw cbrb") + td_pd.append(HT.Text("PolymiRTS")) + td_pd.append(HT.BR()) + td_pd.append(HT.Text("Database")) + td_pd.append(HT.BR()) + td_pd.append(HT.Href(url='http://compbio.uthsc.edu/miRSNP/', text='>>', target="_blank", Class="normalsize")) + + if refGene: + columns.append(HT.TD('Literature Correlation', Class="fs14 fwb ffl b1 cw cbrb", width=1)) + columns.append(HT.TD('Gene Description',Class="fs14 fwb ffl b1 cw cbrb")) + columns.append(td_pd) + geneTableMain.append(columns) + + # polymiRTS + # http://lily.uthsc.edu:8080/20090422_UTHSC_cuiyan/PolymiRTS_CLS?chrom=2&chrom_from=115&chrom_to=125 + #XZ: We can NOT assume their web service is always on. We must put this block of code in try except. + try: + conn = httplib.HTTPConnection("lily.uthsc.edu:8080") + conn.request("GET", "/20090422_UTHSC_cuiyan/PolymiRTS_CLS?chrom=%s&chrom_from=%s&chrom_to=%s" % (self.genotype[0].name, self.startMb, self.endMb)) + response = conn.getresponse() + data = response.read() + data = data.split() + conn.close() + dic = {} + index = 0 + for i in data: + if index%3==0: + dic[data[index]] = HT.Href(url=data[index+2], text=data[index+1], target="_blank", Class="normalsize") + index = index+1 + except Exception: + dic={} + + + for gIndex, theGO in enumerate(geneCol): + geneLength = (theGO["TxEnd"] - theGO["TxStart"])*1000.0 + tenPercentLength = geneLength*0.0001 + txStart = theGO["TxStart"] + txEnd = theGO["TxEnd"] + theGO["snpDensity"] = theGO["snpCount"]/geneLength + if (self.ALEX_DEBUG_BOOL_PRINT_GENE_LIST and geneTableMain): + #accessionString = 'http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=Display&DB=gene&term=%s' % theGO["NM_ID"] + geneIdString = 'http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=%s' % theGO["GeneID"] + + allProbeString = '%s?cmd=sch&gene=%s&alias=1' % (os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), theGO["GeneSymbol"]) + if theGO["snpCount"]: + snpString = HT.Href(url="%s&chr=%s&start=%s&end=%s&geneName=%s&s1=%d&s2=%d" % (os.path.join(webqtlConfig.CGIDIR, 'main.py?FormID=snpBrowser'), + theGO["Chromosome"], theGO["TxStart"], theGO["TxEnd"], theGO["GeneSymbol"], self.diffCol[0], self.diffCol[1]), + text=theGO["snpCount"], target="_blank", Class="normalsize") + else: + snpString = 0 + + mouseStartString = "http://genome.ucsc.edu/cgi-bin/hgTracks?clade=vertebrate&org=Mouse&db=mm9&position=chr" + theGO["Chromosome"] + "%3A" + str(int(theGO["TxStart"] * 1000000.0)) + "-" + str(int(theGO["TxEnd"]*1000000.0)) +"&pix=620&Submit=submit" + + if theGO['humanGene']: + huGO = theGO['humanGene'] + if huGO["TxStart"] == '': + humanStartDisplay = "" + else: + humanStartDisplay = "%0.6f" % huGO["TxStart"] + humanChr = huGO["Chromosome"] + if humanChr.find("q") > -1: + humanChr = humanChr[:humanChr.find("q")] + if humanChr.find("p") > -1: + humanChr = humanChr[:humanChr.find("p")] + humanStartString = "http://genome.ucsc.edu/cgi-bin/hgTracks?clade=vertebrate&org=Human&db=hg17&position=chr%s:%d-%d" % (humanChr, int(1000000*huGO["TxStart"]), int(1000000*huGO["TxEnd"])) + else: + humanStartString = humanChr = humanStartDisplay = "" + + geneDescription = theGO["GeneDescription"] + if len(geneDescription) > 26: + geneDescription = geneDescription[:26]+"..." + probeSetSearch = HT.Href(allProbeString, HT.Image("/images/webqtl_search.gif", border=0), target="_blank") + + if theGO["snpDensity"] < 0.000001: + snpDensityStr = "0" + else: + snpDensityStr = "%0.6f" % theGO["snpDensity"] + + avgExpr = []#theGO["avgExprVal") + if avgExpr in ([], None): + avgExpr = "" + else: + avgExpr = "%0.6f" % avgExpr + + tableIterationsCnt = tableIterationsCnt + 1 + + # polymiRTS + polymiRTS = ' ' + if dic.has_key(theGO["GeneID"]): + polymiRTS = dic[theGO["GeneID"]] + + # If we have a referenceGene then we will show the Literature Correlation + if refGene: + literatureCorrelation = str(self.getLiteratureCorrelation(self.cursor,refGene,theGO['GeneID']) or "N/A") + geneTableMain.append(HT.TR(HT.TD(tableIterationsCnt, align="right", Class="fs13 b1 cbw c222"), + HT.TD(probeSetSearch, align="center", Class="fs13 bt1 bb1 cbw c222", width=21), + HT.TD(HT.Href(geneIdString, theGO["GeneSymbol"], target="_blank", Class="normalsize"), align='left', Class="fs13 bt1 bb1 cbw c222"), + HT.TD(HT.Href(mouseStartString, "%0.6f" % txStart, target="_blank", Class="normalsize"), align='right', Class="fs13 b1 cbw c222"), + HT.TD(HT.Href("javascript:centerIntervalMapOnRange2('%s', " % theGO["Chromosome"]+str(txStart-tenPercentLength) + ", " + str(txEnd+tenPercentLength) + ", document.changeViewForm)", "%0.3f" % geneLength, Class="normalsize"), align='right', Class="fs13 b1 cbw c222"), + HT.TD(snpString, align="right", Class="fs13 b1 cbw c222"), + HT.TD(snpDensityStr, align='right', Class='fs13 b1 cbw c222'), + HT.TD(avgExpr, align="right", Class="fs13 b1 cbw c222"), # This should have a link to the "basic stats" (button on main selection page) of the gene + HT.TD(humanChr, align="right",Class="fs13 b1 cbw c222"), + HT.TD(HT.Href(humanStartString, humanStartDisplay, target="_blank", Class="normalsize"), align="right", Class="fs13 b1 cbw c222"), + HT.TD(literatureCorrelation, align='left',Class="fs13 b1 cbw c222"), + HT.TD(geneDescription, align='left',Class="fs13 b1 cbw c222"), + HT.TD(polymiRTS, align='left', Class="fs13 b1 cbw c222"))) + + else: + geneTableMain.append(HT.TR(HT.TD(tableIterationsCnt, align="right", Class="fs13 b1 cbw c222"), + HT.TD(probeSetSearch, align="center", Class="fs13 bt1 bb1 cbw c222", width=21), + HT.TD(HT.Href(geneIdString, theGO["GeneSymbol"], target="_blank", Class="normalsize"), align='left', Class="fs13 bt1 bb1 cbw c222"), + HT.TD(HT.Href(mouseStartString, "%0.6f" % txStart, target="_blank", Class="normalsize"), align='right', Class="fs13 b1 cbw c222"), + HT.TD(HT.Href("javascript:centerIntervalMapOnRange2('%s', " % theGO["Chromosome"]+str(txStart-tenPercentLength) + ", " + str(txEnd+tenPercentLength) + ", document.changeViewForm)", "%0.3f" % geneLength, Class="normalsize"), align='right', Class="fs13 b1 cbw c222"), + HT.TD(snpString, align="right", Class="fs13 b1 cbw c222"), + HT.TD(snpDensityStr, align='right', Class='fs13 b1 cbw c222'), + HT.TD(avgExpr, align="right", Class="fs13 b1 cbw c222"), # This should have a link to the "basic stats" (button on main selection page) of the gene + HT.TD(humanChr, align="right",Class="fs13 b1 cbw c222"), + HT.TD(HT.Href(humanStartString, humanStartDisplay, target="_blank", Class="normalsize"), align="right", Class="fs13 b1 cbw c222"), + HT.TD(geneDescription, align='left',Class="fs13 b1 cbw c222"), + HT.TD(polymiRTS, align='left', Class="fs13 b1 cbw c222"))) + + return geneTableMain + elif self.species == "rat": + geneTableMain = HT.TableLite(border=0, width=1050, cellpadding=0, cellspacing=0, Class="collap") + geneTableMain.append(HT.TR(HT.TD(' ', Class="fs14 fwb ffl b1 cw cbrb"), + HT.TD('Gene Symbol',Class="fs14 fwb ffl b1 cw cbrb", colspan=2), + HT.TD('Mb Start (rn3)',Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Gene Length (Kb)',Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Avg. Expr. Value', Class="fs14 fwb ffl b1 cw cbrb", width=1), # Max of all transcripts + HT.TD('Mouse Chr', Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Mb Start (mm9)', Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Human Chr',Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Mb Start (hg19)', Class="fs14 fwb ffl b1 cw cbrb", width=1), + HT.TD('Gene Description',Class="fs14 fwb ffl b1 cw cbrb"))) + + for gIndex, theGO in enumerate(geneCol): + geneDesc = theGO["GeneDescription"] + if geneDesc == "---": + geneDesc = "" + geneLength = (float(theGO["TxEnd"]) - float(theGO["TxStart"])) + geneLengthURL = "javascript:centerIntervalMapOnRange2('%s', %f, %f, document.changeViewForm)" % (theGO["Chromosome"], float(theGO["TxStart"])-(geneLength*0.1), float(theGO["TxEnd"])+(geneLength*0.1)) + + #the chromosomes for human 1 are 1qXX.XX + if theGO['humanGene']: + humanChr = theGO['humanGene']["Chromosome"] + if 'q' in humanChr: + humanChr = humanChr[:humanChr.find("q")] + if 'p' in humanChr: + humanChr = humanChr[:humanChr.find("p")] + humanTxStart = theGO['humanGene']["TxStart"] + else: + humanChr = humanTxStart = "" + + #Mouse Gene + if theGO['mouseGene']: + mouseChr = theGO['mouseGene']["Chromosome"] + mouseTxStart = theGO['mouseGene']["TxStart"] + else: + mouseChr = mouseTxStart = "" + + if theGO["GeneID"] != "": + geneSymbolURL = HT.Href("http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=%s" % theGO["GeneID"], theGO["GeneSymbol"], Class="normalsize", target="_blanK") + else: + geneSymbolURL = theGO["GeneSymbol"] + + if len(geneDesc) > 34: + geneDesc = geneDesc[:32] + "..." + + avgExprVal = [] #theGO["avgExprVal"] + if avgExprVal != "" and avgExprVal: + avgExprVal = "%0.5f" % float(avgExprVal) + else: + avgExprVal = "" + + geneTableMain.append(HT.TR(HT.TD(gIndex+1, align="right", Class="fs13 b1 cbw c222"), + HT.TD(HT.Href(os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE)+"?cmd=sch&gene=%s&alias=1&species=rat" % theGO["GeneSymbol"], HT.Image("/images/webqtl_search.gif", border=0), target="_blank"), Class="fs13 bt1 bb1 cbw c222"), + HT.TD(geneSymbolURL, Class="fs13 bt1 bb1 cbw c222"), + HT.TD(theGO["TxStart"], Class="fs13 b1 cbw c222"), + HT.TD(HT.Href(geneLengthURL, "%0.3f" % (geneLength*1000.0), Class="normalsize"), Class="fs13 b1 cbw c222"), + HT.TD(avgExprVal, Class="fs13 b1 cbw c222"), + HT.TD(mouseChr, Class="fs13 b1 cbw c222"), + HT.TD(mouseTxStart, Class="fs13 b1 cbw c222"), + HT.TD(humanChr, Class="fs13 b1 cbw c222"), + HT.TD(humanTxStart, Class="fs13 b1 cbw c222"), + HT.TD(geneDesc, Class="fs13 b1 cbw c222"))) + return geneTableMain + else: + return "" + + def getLiteratureCorrelation(cursor,geneId1=None,geneId2=None): + if not geneId1 or not geneId2: + return None + if geneId1 == geneId2: + return 1.0 + geneId1 = str(geneId1) + geneId2 = str(geneId2) + lCorr = None + try: + query = 'SELECT Value FROM LCorrRamin3 WHERE GeneId1 = %s and GeneId2 = %s' + for x,y in [(geneId1,geneId2),(geneId2,geneId1)]: + cursor.execute(query,(x,y)) + lCorr = cursor.fetchone() + if lCorr: + lCorr = lCorr[0] + break + except: raise #lCorr = None + return lCorr |