cdf and probe for HT HG-U133+ PM Array Plate
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An De Bondt ▴ 40
@an-de-bondt-3329
Last seen 7.6 years ago
Dear useRs, We have run our first samples on the Affymetrix HT HGU133plus array. Is there already a cdf and probe package available for this array? I could not find it yet on http://www.bioconductor.org/packages/release/data/annotation/ or http://www.bioconductor.org/packages/devel/data/annotation/ More info on the array: http://www.affymetrix.com/support/technical/byproduct.affx?product =ht_hg-u133_pm_ap Thanks in advance for your help! Best regards, An [[alternative HTML version deleted]]
cdf probe cdf probe • 1.2k views
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cstrato ★ 3.9k
@cstrato-908
Last seen 5.6 years ago
Austria
Dear An I have just downloaded from Affymetrix all files and the testdata for the array plate in order to test if my package "xps" can handle these arrays. I you want to use xps then here is how to proceed: 1, create root scheme: > library(xps) > libdir <- "/Volumes/GigaDrive/Affy/libraryfiles" > anndir <- "/Volumes/GigaDrive/Affy/Annotation" > scmdir <- "/Volumes/GigaDrive/CRAN/Workspaces/Schemes" > scheme.hthgu133ppm <- import.expr.scheme("Scheme_HTHGU133pPM_na27",filedir=scmdir,paste(libd ir,"HT_HG-U133_Plus_PM.CDF",sep="/"),paste(libdir,"HT_HG- U133_Plus_PM.probe.tab",sep="/"),paste(anndir,"Version09Feb/HT_HG- U133_Plus_PM.na27.1.annot.csv",sep="/")) Please note that you need to change the header line of "HT_HG-U133_Plus_PM.probe.tab" to: Probe Set Name Probe X Probe Y Probe Interrogation Position Probe Sequence Target Strandedness (I have no idea why Affymetrix used a different header in this case) 2, import CEL-files > library(xps) > scmdir <- "/Volumes/GigaDrive/CRAN/Workspaces/Schemes" > celdir <- "/Volumes/GigaDrive/ChipData/Plate/HT_PM_human_tissue_panel" > datdir <- "/Volumes/GigaDrive/CRAN/Workspaces/ROOTData" # first, import ROOT scheme file > scheme.u133ppm <- root.scheme(paste(scmdir,"Scheme_HTHGU133pPM_na27.root",sep="/")) # subset of CEL files to import > celfiles <- c("Human_PM_TestData.A01.CEL","Human_PM_TestData.A02.CEL","Human_PM_Te stData.A03.CEL", "Human_PM_TestData.B01.CEL","Human_PM_TestData.B02.CEL","Human_PM_Test Data.B03.CEL") > celnames <- c("TestDataA01","TestDataA02","TestDataA03","TestDataB01","TestDataB02 ","TestDataB03") # import CEL files > data.mix.u133ppm <- import.data(scheme.u133ppm, "TestDataHTU133PPM", filedir=datdir,celdir=celdir,celfiles=celfiles,celnames=celnames) 3, normalize data > library(xps) ### first, load ROOT scheme file and ROOT data file > scmdir <- "/Volumes/GigaDrive/CRAN/Workspaces/Schemes" > scheme.u133ppm <- root.scheme(paste(scmdir,"Scheme_HTHGU133pPM_na27.root",sep="/")) > datdir <- "/Volumes/GigaDrive/CRAN/Workspaces/ROOTData" > data.u133ppm <- root.data(scheme.u133ppm, paste(datdir,"TestDataHTU133PPM_cel.root",sep="/")) # RMA > data.rma <- rma(data.u133ppm,"TestDataHTU133PPM_RMA",tmpdir="",background="pmonly" ,normalize=T) > expr.rma <- validData(data.rma) As you see, using xps you should be able to process your plate data. Best regards Christian _._._._._._._._._._._._._._._._._._ C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a V.i.e.n.n.a A.u.s.t.r.i.a e.m.a.i.l: cstrato at aon.at _._._._._._._._._._._._._._._._._._
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