def execute(choices, galaxyFn=None, username=''):
'''
Is called when execute-button is pushed by web-user. Should print
output as HTML to standard out, which will be directed to a results page
in Galaxy history. If getOutputFormat is anything else than HTML, the
output should be written to the file with path galaxyFn. If needed,
StaticFile can be used to get a path where additional files can be put
(e.g. generated image files). choices is a list of selections made by
web-user in each options box.
'''
resultsFN = ExternalTrackManager.extractFnFromGalaxyTN(
choices.resultsFile)
examResults = TaskScoreOverview(resultsFN, galaxyFn)
examResults.run()
core = HtmlCore()
core.begin()
core.header('Overview of exam scores')
for table in examResults.getTables():
core.divBegin(divClass='resultsTable')
core.tableHeader([])
for key, val in table.iteritems():
core.tableLine([key, val])
core.tableFooter()
core.divEnd()
for plotUrl in examResults.getPlotUrls():
core.divBegin(divClass='plot')
core.image(plotUrl)
core.divEnd()
core.end()
print core
def execute(choices, galaxyFn=None, username=''):
'''
Is called when execute-button is pushed by web-user. Should print
output as HTML to standard out, which will be directed to a results page
in Galaxy history. If getOutputFormat is anything else than HTML, the
output should be written to the file with path galaxyFn. If needed,
StaticFile can be used to get a path where additional files can be put
(e.g. generated image files). choices is a list of selections made by
web-user in each options box.
'''
resultsFN = ExternalTrackManager.extractFnFromGalaxyTN(
choices.resultsFile)
selectedTasks = [key for key, val in choices.tasks.iteritems() if val]
examAnalysis = TaskCorrelationAnalysis(resultsFN, galaxyFn)
examAnalysis.run(selectedTasks)
core = HtmlCore()
core.begin()
for plotUrl in examAnalysis.getPlotUrls():
core.divBegin(divId='plot')
core.image(plotUrl)
core.divEnd()
core.end()
print core
def execute(cls, choices, galaxyFn=None, username=''):
file = choices.file
import quick.extra.stefania.Functions_defineDistance_CreateDistanceMatrix_ClusterAnalysis as cdm
if choices.mothers == "":
numMothers = None
else:
numMothers = int(choices.mothers)
# inputFile = open(ExternalTrackManager.extractFnFromGalaxyTN(file.split(':')), 'r')
# with inputFile as f:
# data = [x.strip('\n') for x in f.readlines()]
# f.closed
from proto.hyperbrowser.StaticFile import GalaxyRunSpecificFile
sf = GalaxyRunSpecificFile(["matrix.pickle"],galaxyFn)
sfPng = GalaxyRunSpecificFile(["matrix.png"], galaxyFn)
sfPng1 = GalaxyRunSpecificFile(["Flat1.csv"], galaxyFn)
sfPng2 = GalaxyRunSpecificFile(["Flat2.csv"], galaxyFn)
filename = ExternalTrackManager.extractFnFromGalaxyTN(file.split(':'))
outFn = sf.getDiskPath(ensurePath=True)
outDendrogram = sfPng.getDiskPath(ensurePath=True)
clustersFileOutput1 = sfPng1.getDiskPath(ensurePath=True)
clustersFileOutput2 = sfPng2.getDiskPath(ensurePath=True)
cdm.createDistanceMatrix(filename, outFn, outFileType='pkl', womanIDcolPosition = 0, numRows=numMothers)
cdm.clusteringFunction(outFn, outDendrogram, clustersFileOutput1, clustersFileOutput2, type='hierarchical', method1= 'centroid', method2='complete')
print "Result: ", sf.getLink("pickle-file")
htmlCore = HtmlCore()
htmlCore.begin()
htmlCore.divBegin('plot1')
htmlCore.link('Download plot', sfPng.getURL())
htmlCore.image(sfPng.getURL())
htmlCore.divEnd()
htmlCore.divBegin('plot1')
htmlCore.link('Download file1', sfPng1.getURL())
htmlCore.divEnd()
htmlCore.divBegin('plot1')
htmlCore.link('Download file2', sfPng2.getURL())
htmlCore.divEnd()
htmlCore.end()
print htmlCore
def execute(choices, galaxyFn=None, username=''):
from proto.hyperbrowser.StaticFile import GalaxyRunSpecificFile
from proto.RSetup import r
from quick.application.ExternalTrackManager import ExternalTrackManager
from proto.hyperbrowser.HtmlCore import HtmlCore
dataFn = ExternalTrackManager.extractFnFromGalaxyTN(choices[0])
sf = GalaxyRunSpecificFile(['fig1.png'], galaxyFn)
sf.openRFigure()
r(PlotFigure1Tool.rCode)(dataFn)
sf.closeRFigure()
core = HtmlCore()
core.begin()
core.image(sf.getURL())
core.end()
print str(core)
def execute(choices, galaxyFn=None, username=''):
'''
Is called when execute-button is pushed by web-user. Should print
output as HTML to standard out, which will be directed to a results page
in Galaxy history. If getOutputFormat is anything else than HTML, the
output should be written to the file with path galaxyFn. If needed,
StaticFile can be used to get a path where additional files can be put
(e.g. generated image files). choices is a list of selections made by
web-user in each options box.
'''
resultsFN = ExternalTrackManager.extractFnFromGalaxyTN(
choices.resultsFile)
selectedTasks = [key for key, val in choices.tasks.iteritems() if val]
bins = int(choices.bins) if choices.bins else 20
displayPoints = bool(choices.displayPoints['display']
) if choices.displayPoints else False
spar = float(choices.spar) if choices.spar else 1.0
verticalLines = None
if choices.verticalLines and \
choices.analysis in [IndividualTaskAnalysis.ANALYSIS_BIN_AVG_SMOOTHED_PLOT,
IndividualTaskAnalysis.ANALYSIS_MOVING_AVG_SMOOTHED_PLOT]:
verticalLines = [
float(x.strip()) for x in choices.verticalLines.split(',')
]
examAnalysis = IndividualTaskAnalysis(resultsFN, galaxyFn)
examAnalysis.run(analysis=choices.analysis,
selectedTasks=selectedTasks,
bins=bins,
displayPoints=displayPoints,
spar=spar,
verticalLines=verticalLines)
core = HtmlCore()
core.begin()
for plotUrl in examAnalysis.getPlotUrls():
core.divBegin(divId='plot')
core.image(plotUrl)
core.divEnd()
core.end()
print core
def execute(cls, choices, galaxyFn=None, username=''):
'''
Is called when execute-button is pushed by web-user. Should print
output as HTML to standard out, which will be directed to a results page
in Galaxy history. If getOutputFormat is anything else than HTML, the
output should be written to the file with path galaxyFn. If needed,
StaticFile can be used to get a path where additional files can be put
(e.g. generated image files). choices is a list of selections made by
web-user in each options box.
'''
contents = cls._getContentsOfHistoryFile(choices.history)
averages = []
for row in contents:
row = [float(x) for x in row]
averages.append(sum(row) / len(row))
from proto.hyperbrowser.StaticFile import GalaxyRunSpecificFile
plot = GalaxyRunSpecificFile(['average.png'], galaxyFn)
plot.openRFigure()
from proto.RSetup import r
r.plot(range(1,
len(averages) + 1),
averages,
xlab='Rows',
ylab='Average value')
plot.closeRFigure()
#print plot.getURL() + '<br>'
#print plot.getDiskPath()
from proto.hyperbrowser.HtmlCore import HtmlCore
core = HtmlCore()
core.begin()
core.bigHeader('Plot of row averages')
core.paragraph('This is a plot of the average values of each row:')
core.image(plot.getURL())
core.paragraph(plot.getURL())
core.paragraph(plot.getDiskPath())
#core.paragraph(str(averages))
core.end()
print str(core)
def _buildContent(self):
#iterate through dictionary and for each key create a section (one of [GSuite, Track...])
# each value in the dictionary is a list of GiudeData objects that go into the section defined by the key
htmlCore = HtmlCore()
htmlCore.divBegin('toolGuideInfo')
htmlCore.divBegin(divClass='toolGuideInfoText')
htmlCore.divBegin(divClass='toolGuideInfoTextHeader')
htmlCore.line(TOOL_GUIDE_HELP_HEADER_TEXT)
htmlCore.divEnd()
htmlCore.divBegin(divClass='toolGuideInfoText')
htmlCore.line(TOOL_GUIDE_HELP_HEADER_TEXT_TEXT)
htmlCore.divEnd()
htmlCore.divEnd()
for guideDataKey, guideDataValues in self._guideDataDict.iteritems():
htmlCore.divBegin('toolGuide')
if guideDataKey in TOOL_INPUT_TYPE_TO_TOOL_GUIDE_HELP_HEADER_DICT:
htmlCore.header(TOOL_INPUT_TYPE_TO_TOOL_GUIDE_HELP_HEADER_DICT[
guideDataKey])
for guideDataValue in guideDataValues:
htmlCore.divBegin(divClass='toolGuideData')
htmlCore.divBegin(divClass='toolGuideImgTitle')
if guideDataValue.imgUrl:
htmlCore.image(guideDataValue.imgUrl)
htmlCore.link(text=guideDataValue.toolDisplayName,
url=str(guideDataValue.toolUrl),
args=(' onclick="%s"' % guideDataValue.onclick)
if guideDataValue.onclick else '')
htmlCore.divEnd()
htmlCore.divBegin(divClass='toolGuideDesc')
htmlCore.append(guideDataValue.description)
if guideDataValue.helpPageUrl:
htmlCore.link(text='...read more',
url=str(guideDataValue.helpPageUrl))
htmlCore.divEnd()
htmlCore.divEnd()
htmlCore.divEnd()
htmlCore.divEnd()
#raise Exception(str(htmlCore))#to debug
self._guideContent = str(htmlCore)
def execute(cls, choices, galaxyFn=None, username=''):
genome = choices.genome
from quick.multitrack.MultiTrackCommon import getGSuiteDataFromGalaxyTN
trackTitles, refTrackNameList, genome = getGSuiteDataFromGalaxyTN(choices.gsuite)
queryTrackName = ExternalTrackManager.extractFnFromGalaxyTN(choices.targetTrack)
if choices.isBasic:
suffix = ExternalTrackManager.extractFileSuffixFromGalaxyTN(choices.targetTrack, False)
regSpec = suffix
binSpec = queryTrackName
else:
regSpec, binSpec = UserBinMixin.getRegsAndBinsSpec(choices)
#targetTrack = choices.targetTrack.split(':')
#targetTrackTitle = targetTrack[-1]
#print targetTrackTitle
#
#binSpec = targetTrackTitle
#Phenotype and disease associations:Assorted experiments:Virus integration, HPV specific, Kraus and Schmitz, including 50kb flanks
from gold.gsuite.GSuiteConstants import TITLE_COL
from gold.gsuite.GSuite import GSuite
from proto.hyperbrowser.StaticFile import GalaxyRunSpecificFile
from gold.gsuite.GSuiteEditor import selectColumnsFromGSuite
staticFile=[]
results = []
for refTrack in refTrackNameList:
analysisDef = '-> ProportionCountStat' #ProportionCountStat #CountStat
res = GalaxyInterface.runManual([refTrack], analysisDef, regSpec, binSpec, genome, username=username, galaxyFn=galaxyFn, printRunDescription=False, printResults=False, printProgress=False)
segCoverageProp = [res[seg]['Result'] for seg in res.getAllRegionKeys()]
results.append(segCoverageProp)
regFileNamer = GalaxyRunSpecificFile(refTrack, galaxyFn)
staticFile.append([regFileNamer.getLink('Download bed-file'), regFileNamer.getLoadToHistoryLink('Download bed-file to History')])
refGSuite = getGSuiteFromGalaxyTN(choices.gsuite)
if TITLE_COL == choices.selectColumns:
selected = trackTitles
else:
selected = refGSuite.getAttributeValueList(choices.selectColumns)
yAxisNameOverMouse=[]
metadataAll =[]
for x in range(0, len(selected)):
if selected[x] == None:
yAxisNameOverMouse.append(str(trackTitles[x]) + ' --- ' + 'None')
else:
if TITLE_COL == choices.selectColumns:
yAxisNameOverMouse.append(selected[x].replace('\'', '').replace('"', ''))
else:
metadata = str(selected[x].replace('\'', '').replace('"', ''))
yAxisNameOverMouse.append(str(trackTitles[x]) + ' --- ' + metadata)
metadataAll.append(metadata)
colorListForYAxisNameOverMouse = []
if len(metadataAll) > 0:
import quick.webtools.restricted.visualization.visualizationGraphs as vg
cList = vg.colorList().fullColorList()
uniqueCList = list(set(metadataAll))
for m in metadataAll:
colorListForYAxisNameOverMouse.append(cList[uniqueCList.index(m)])
#startEnd - order in res
startEndInterval = []
startEnd = []
i=0
extraX=[]
rowLabel = []
for ch in res.getAllRegionKeys():
rowLabel.append(str(ch.chr) + ":" + str(ch.start) + "-" + str(ch.end) + str(' (Pos)' if ch.strand else ' (Neg)'))
if not i==0 and not i==len(res.getAllRegionKeys())-1:
start = ch.start
if start-end > 0:
startEnd.append(start-end)
else:
startEnd.append('null')
extraX.append("""{ color: 'orange', width: 5, value: '""" + str(i-0.5) + """' }""")
startEndInterval.append(ch.end - ch.start)
else:
startEndInterval.append(ch.end - ch.start)
end = ch.end
i+=1
extraXAxis='plotLines: [ '
extraXAxis = extraXAxis + ",".join(extraX)
extraXAxis = extraXAxis + """ ], """
#rowLabel = res.getAllRegionKeys()
#rowLabel = [str(x) for x in rowLabel]
import quick.webtools.restricted.visualization.visualizationPlots as vp
htmlCore = HtmlCore()
htmlCore.begin()
htmlCore.divBegin(divId='results-page')
htmlCore.divBegin(divClass='results-section')
htmlCore.divBegin('plotDiv')
htmlCore.line(vp.addJSlibs())
htmlCore.line(vp.useThemePlot())
htmlCore.line(vp.addJSlibsExport())
htmlCore.line(vp.axaddJSlibsOverMouseAxisisPopup())
#vp.addGuideline(htmlCore)
htmlCore.line(vp._addGuidelineV1())
htmlCore.line(vp.addJSlibsHeatmap())
from config.Config import DATA_FILES_PATH
from proto.StaticFile import StaticFile, GalaxyRunSpecificFile
#sf = GalaxyRunSpecificFile(['result.txt'], galaxyFn)
#outFile = sf.getDiskPath(ensurePath=True)
htmlCore.divBegin()
writeFile = open(
cls.makeHistElement(galaxyExt='tabular',
title='result'), 'w')
# htmlCore.link('Get all results', sf.getURL())
htmlCore.divEnd()
i = 0
writeFile.write('Track' + '\t' + '\t'.join(rowLabel)+ '\n')
for rList in results:
writeFile.write(str(yAxisNameOverMouse[i]) + '\t' + '\t'.join([str(r) for r in rList]) + '\n')
i+=1
fileOutput = GalaxyRunSpecificFile(['heatmap.png'],
galaxyFn)
ensurePathExists(fileOutput.getDiskPath())
fileOutputPdf = GalaxyRunSpecificFile(['heatmap.pdf'],
galaxyFn)
ensurePathExists(fileOutputPdf.getDiskPath())
cls.generateStaticRPlot(results, colorListForYAxisNameOverMouse, rowLabel, yAxisNameOverMouse,
colorMaps[choices.colorMapSelectList],
fileOutput.getDiskPath(), fileOutputPdf.getDiskPath())
htmlCore.divBegin(divId='heatmap', style="padding: 10px 0 px 10 px 0px;margin: 10px 0 px 10 px 0px")
htmlCore.link('Download heatmap image', fileOutputPdf.getURL())
htmlCore.divEnd()
if len(results) * len(results[1]) >= 10000:
htmlCore.image(fileOutput.getURL())
else:
min = 1000000000
max = -1000000000
for rList in results:
for r in rList:
if min > r:
min = r
if max < r:
max = r
if max-min != 0:
resultNormalised = []
for rList in results:
resultNormalisedPart = []
for r in rList:
resultNormalisedPart.append((r-min)/(max-min))
resultNormalised.append(resultNormalisedPart)
addText = '(normalised to [0, 1])'
else:
resultNormalised = results
addText = ''
hm, heatmapPlotNumber, heatmapPlot = vp.drawHeatMap(
resultNormalised,
colorMaps[choices.colorMapSelectList],
label='this.series.xAxis.categories[this.point.x] + ' + "'<br >'" + ' + yAxisNameOverMouse[this.point.y] + ' + "'<br>Overlap proportion" + str(addText) + ": <b>'" + ' + this.point.value + ' + "'</b>'",
yAxisTitle= 'Reference tracks',
categories=rowLabel,
tickInterval=1,
plotNumber=3,
interaction=True,
otherPlotNumber=1,
titleText='Overlap with reference tracks for each local region',
otherPlotData=[startEnd, startEndInterval],
overMouseAxisX=True,
overMouseAxisY=True,
yAxisNameOverMouse=yAxisNameOverMouse,
overMouseLabelY=" + 'Track: '" + ' + this.value + ' + "' '" + ' + yAxisNameOverMouse[this.value] + ',
overMouseLabelX = ' + this.value.substring(0, 20) +',
extrOp = staticFile
)
htmlCore.line(hm)
htmlCore.line(vp.drawChartInteractionWithHeatmap(
[startEndInterval, startEnd],
tickInterval=1,
type='line',
categories=[rowLabel, rowLabel],
seriesType=['line', 'column'],
minWidth=300,
height=500,
lineWidth=3,
titleText=['Lengths of segments (local regions)','Gaps between consecutive segments'],
label=['<b>Length: </b>{point.y}<br/>', '<b>Gap length: </b>{point.y}<br/>'],
subtitleText=['',''],
yAxisTitle=['Lengths','Gap lengths'],
seriesName=['Lengths','Gap lengths'],
xAxisRotation=90,
legend=False,
extraXAxis=extraXAxis,
heatmapPlot=heatmapPlot,
heatmapPlotNumber=heatmapPlotNumber,
overMouseAxisX=True,
overMouseLabelX = ' + this.value.substring(0, 20) +'
))
htmlCore.divEnd()
htmlCore.divEnd()
htmlCore.divEnd()
htmlCore.end()
htmlCore.hideToggle(styleClass='debug')
print htmlCore