[BioC] Error in setQCEnvironment(cdfn)

James W. MacDonald jmacdon at uw.edu
Tue Sep 4 19:19:56 CEST 2012


Hi Suparna,

On 9/4/2012 1:14 PM, suparna mitra wrote:
> Hi Jim,
>  Thanks a lot, but the files are there and also I just figured out 
> somehow is working with "=".
> InVivodat=read.celfiles(list.celfiles("/Users/smitra/Desktop/Recent/Micro_RawData/InVivoTargets/"))
> No idea why. But now I get:
> Loading required package: pd.hugene.1.0.st.v1
> Attempting to obtain 'pd.hugene.1.0.st.v1' from BioConductor website.
> Checking to see if your internet connection works...
> Warning: unable to access index for repository 
> http://brainarray.mbni.med.umich.edu/bioc/bin/macosx/leopard/contrib/2.12
> Warning: unable to access index for repository 
> http://brainarray.mbni.med.umich.edu/bioc/bin/macosx/leopard/contrib/2.12
> trying URL 
> 'http://bioconductor.org/packages/2.7/data/annotation/bin/macosx/leopard/contrib/2.12/pd.hugene.1.0.st.v1_3.0.2.tgz'
> Content type 'application/x-gzip' length 68064870 bytes (64.9 Mb)
> opened URL
> =================================================
> downloaded 64.9 Mb
>
>
> The downloaded packages are in
> /var/folders/yq/fb09p6c556lf48k41ntj6v4w0000gp/T//RtmpPDzMft/downloaded_packages
> Loading required package: pd.hugene.1.0.st.v1
> Platform design info loaded.
> Reading in : MC1_(HuGene-1_0-st-v1).CEL
> Reading in : MC10_(HuGene-1_0-st-v1).CEL
> Reading in : MC11_(HuGene-1_0-st-v1).CEL
> Reading in : MC12_(HuGene-1_0-st-v1).CEL
> Reading in : MC13_(HuGene-1_0-st-v1).CEL
> Reading in : MC14_(HuGene-1_0-st-v1).CEL
> Reading in : MC15_(HuGene-1_0-st-v1).CEL
> Reading in : MC16_(HuGene-1_0-st-v1).CEL
> Reading in : MC17_(HuGene-1_0-st-v1).CEL
> Reading in : MC18_(HuGene-1_0-st-v1).CEL
> Reading in : MC2_(HuGene-1_0-st-v1).CEL
> Reading in : MC3_(HuGene-1_0-st-v1).CEL
> Reading in : MC4_(HuGene-1_0-st-v1).CEL
> Reading in : MC5_(HuGene-1_0-st-v1).CEL
> Reading in : MC6_(HuGene-1_0-st-v1).CEL
> Reading in : MC7_(HuGene-1_0-st-v1).CEL
> Reading in : MC8_(HuGene-1_0-st-v1).CEL
> Reading in : MC9_(HuGene-1_0-st-v1).CEL
> Warning message:
> In library(package, lib.loc = lib.loc, character.only = TRUE, 
> logical.return = TRUE,  :
>   there is no package called 'pd.hugene.1.0.st.v1'
>
> So now I am trying to find pd.hugene.1.0.st.v1

It's there. That warning gets propagated incorrectly. You can see by doing

search()

at your R prompt.

Best,

Jim


>
> Thanks a lot,
> Suparna
>
> On 4 September 2012 18:10, James W. MacDonald <jmacdon at uw.edu 
> <mailto:jmacdon at uw.edu>> wrote:
>
>     Hi Suparna,
>
>     If the files aren't in your working directory, you need to add
>     that information to your call to read.celfiles.
>
>     read.celfiles(filenames =
>     paste("/Users/smitra/Desktop/Micro_RawData/InVivoTargets/",
>                            
>     list.celfiles("/Users/smitra/Desktop/Micro_RawData/InVivoTargets"), sep
>     = "")
>
>
>     Best,
>
>     Jim
>
>
>
>     On 9/4/2012 12:59 PM, suparna mitra wrote:
>
>         Hello Jim,
>          Thanks a lot for your reply and help. But now it seems I am
>         having a new problem with read.celfiles.
>         Until now ReadAffy worked perfectly, but not read.celfiles. It
>         tells the proper files names but says "Error: These do not
>         exist:" as shown below. Am I doing any silly mistake?
>
>         Any help will be really great.
>         Thanks a lot,
>         Suparna.
>
>         > mydata <- ReadAffy()
>
>         > mydata
>
>         AffyBatch object
>
>         size of arrays=1050x1050 features (13 kb)
>
>         cdf=HuGene-1_0-st-v1 (32321 affyids)
>
>         number of samples=12
>
>         number of genes=32321
>
>         annotation=hugene10stv1
>
>         notes=
>
>
>         >
>         InVivodat<-read.celfiles(list.celfiles("/Users/smitra/Desktop/Micro_RawData/InVivoTargets"))
>
>         Error: These do not exist:
>
>         MC1_(HuGene-1_0-st-v1).CEL
>
>         MC10_(HuGene-1_0-st-v1).CEL
>
>         MC11_(HuGene-1_0-st-v1).CEL
>
>         MC12_(HuGene-1_0-st-v1).CEL
>
>         MC13_(HuGene-1_0-st-v1).CEL
>
>         MC14_(HuGene-1_0-st-v1).CEL
>
>         MC15_(HuGene-1_0-st-v1).CEL
>
>         MC16_(HuGene-1_0-st-v1).CEL
>
>         MC17_(HuGene-1_0-st-v1).CEL
>
>         MC18_(HuGene-1_0-st-v1).CEL
>
>         MC2_(HuGene-1_0-st-v1).CEL
>
>         MC3_(HuGene-1_0-st-v1).CEL
>
>         MC4_(HuGene-1_0-st-v1).CEL
>
>         MC5_(HuGene-1_0-st-v1).CEL
>
>         MC6_(HuGene-1_0-st-v1).CEL
>
>         MC7_(HuGene-1_0-st-v1).CEL
>
>         MC8_(HuGene-1_0-st-v1).CEL
>
>         MC9_(HuGene-1_0-st-v1).CEL
>
>         >
>
>
>         On 4 September 2012 17:27, James W. MacDonald <jmacdon at uw.edu
>         <mailto:jmacdon at uw.edu> <mailto:jmacdon at uw.edu
>         <mailto:jmacdon at uw.edu>>> wrote:
>
>             Hi Suparna,
>
>             I use the oligo package to analyze these data, rather than the
>             affy package. I also use my affycoretools package to help make
>             certain QC plots that I like.
>
>             I tend to do something like
>
>             dat <- read.celfiles(list.celfiles(<wherever they are>))
>             hist(dat) ## gives a density plot - they should all look
>         similar
>
>             You can look for problematic arrays using a probe level
>         model. If
>             you have multiple cores, you can first do
>             Sys.setenv(R_THREADS = <number of cores you want to use>)
>             plm <- fitProbeLevelModel(dat)
>
>             Then you can look at
>             NUSE(plm)
>             RLE(plm)
>
>             It may also be interesting to look at residuals
>             image(plm, type="residuals")
>
>             Then
>             eset <- rma(dat)
>
>             If you use affycoretools you can do
>
>             plotPCA(eset, <vector of numbers indicating group membership>,
>         <group types>)
>
>             and see if your replicates are grouping together. You can
>         also do
>             MA plots
>
>             maplot(eset)
>
>             which compare all your chips to a pseudo-array. If  you
>         have more
>             than 25 arrays, you should do 25 at a time.
>
>             Note that if you use the limma package to make comparisons
>         you can
>             weight arrays, so unless one or more are completely
>         broken, you
>             usually don't need to exclude. It's instructive to add the
>         weights
>             to a PCA plot. So if you have say 3 treated vs 3 control, you
>             could do something like
>
>             trt <- factor(rep(c("Treated","Control"), each = 3))
>             design <- model.matrix(~trt)
>             wts <- arrayWeights(eset, design)
>
>             plotPCA(eset, groups, groupnames, addtext = round(wts, 2))
>
>             Best,
>
>             Jim
>
>
>             On 9/4/2012 12:06 PM, suparna mitra wrote:
>
>                 Dear Jim,
>                   Thanks a lot. Yes I also read something that  HuGene
>         array
>                 does not use the T7-Oligo(dT) primer. But sorry being
>         new I
>                 just missed the point. Actually I was trying to follow
>         a step
>                 by step tutorial for Affy data.
>
>                 But can you suggest the best way to perform qc for
>         this chip?
>                 Thanks a lot,
>                 Suparna.
>
>                 On 4 September 2012 16:58, James W. MacDonald
>         <jmacdon at uw.edu <mailto:jmacdon at uw.edu>
>         <mailto:jmacdon at uw.edu <mailto:jmacdon at uw.edu>>
>         <mailto:jmacdon at uw.edu <mailto:jmacdon at uw.edu>
>
>         <mailto:jmacdon at uw.edu <mailto:jmacdon at uw.edu>>>> wrote:
>
>                     Hi Suparna,
>
>
>                     On 9/4/2012 11:35 AM, suparna mitra wrote:
>
>                         Hello group,
>                           I am new in bioconductor and trying use it
>         for my
>                 Affymetrix
>                         microarray
>                         data.
>                         Genechip HuGene-1_0-st-v1.
>
>
>                     The simpleaffy package isn't really designed for
>         this array. A
>                     significant portion of the QC measures are based on
>                 comparisons
>                     between the PM and MM probes, and the newer
>         generation of
>                 arrays
>                     from Affy no longer have MM probes.
>
>                     Best,
>
>                     Jim
>
>
>
>                         I have normalized my data using rma. Then when I
>                 trying to see
>                         the quality
>                         I found following error. Can anybody help me
>         with this
>                 please.
>                         Thanks a lot in advance :)
>                         Best wishes,
>                         Suparna.
>
>                             library(affy)
>                             library(simpleaffy)
>
>                         Loading required package: genefilter
>                         Loading required package: gcrma
>
>                         Attaching package: 'simpleaffy'
>
>                         The following object(s) are masked _by_
>         '.GlobalEnv':
>
>                              getBioC
>
>                             library("hugene10stv1cdf")
>                             aqc<-qc(InVivodata)
>
>                         Error in setQCEnvironment(cdfn) :
>                            Could not find array definition file '
>                 hugene10stv1cdf.qcdef '.
>                         Simpleaffy does not know the QC parameters for
>         this
>                 array type.
>                         See the package vignette for details about how to
>                 specify QC
>                         parameters
>                         manually.
>
>                                 [[alternative HTML version deleted]]
>
>                         _______________________________________________
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>         <mailto:Bioconductor at r-project.org>>
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>
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>
>                     --     James W. MacDonald, M.S.
>                     Biostatistician
>                     University of Washington
>                     Environmental and Occupational Health Sciences
>                     4225 Roosevelt Way NE, # 100
>                     Seattle WA 98105-6099
>
>
>
>
>                 --         Dr. Suparna Mitra
>                 Wolfson Centre for Personalised Medicine
>                 Department of Molecular and Clinical Pharmacology
>                 Institute of Translational Medicine University of
>         Liverpool
>                 Block A: Waterhouse Buildings,  L69 3GL Liverpool
>
>                 Tel. +44 (0)151 795 5394
>         <tel:%2B44%20%280%29151%20795%205394>
>         <tel:%2B44%20%280%29151%20795%205394>, Internal ext: 55394
>                 M: +44 (0) 7511387895
>         <tel:%2B44%20%280%29%207511387895>
>         <tel:%2B44%20%280%29%207511387895>
>                 Email id: smitra at liverpool.ac.uk
>         <mailto:smitra at liverpool.ac.uk>
>         <mailto:smitra at liverpool.ac.uk
>         <mailto:smitra at liverpool.ac.uk>>
>         <mailto:smitra at liverpool.ac.uk <mailto:smitra at liverpool.ac.uk>
>
>         <mailto:smitra at liverpool.ac.uk <mailto:smitra at liverpool.ac.uk>>>
>                 Alternative Email id: suparna.mitra.sm at gmail.com
>         <mailto:suparna.mitra.sm at gmail.com>
>         <mailto:suparna.mitra.sm at gmail.com
>         <mailto:suparna.mitra.sm at gmail.com>>
>         <mailto:suparna.mitra.sm at gmail.com
>         <mailto:suparna.mitra.sm at gmail.com>
>
>         <mailto:suparna.mitra.sm at gmail.com
>         <mailto:suparna.mitra.sm at gmail.com>>>
>
>
>             --     James W. MacDonald, M.S.
>             Biostatistician
>             University of Washington
>             Environmental and Occupational Health Sciences
>             4225 Roosevelt Way NE, # 100
>             Seattle WA 98105-6099
>
>
>
>
>         -- 
>         Dr. Suparna Mitra
>         Wolfson Centre for Personalised Medicine
>         Department of Molecular and Clinical Pharmacology
>         Institute of Translational Medicine University of Liverpool
>         Block A: Waterhouse Buildings,  L69 3GL Liverpool
>
>         Tel. +44 (0)151 795 5394
>         <tel:%2B44%20%280%29151%20795%205394>, Internal ext: 55394
>         M: +44 (0) 7511387895 <tel:%2B44%20%280%29%207511387895>
>         Email id: smitra at liverpool.ac.uk
>         <mailto:smitra at liverpool.ac.uk> <mailto:smitra at liverpool.ac.uk
>         <mailto:smitra at liverpool.ac.uk>>
>         Alternative Email id: suparna.mitra.sm at gmail.com
>         <mailto:suparna.mitra.sm at gmail.com>
>         <mailto:suparna.mitra.sm at gmail.com
>         <mailto:suparna.mitra.sm at gmail.com>>
>
>
>     -- 
>     James W. MacDonald, M.S.
>     Biostatistician
>     University of Washington
>     Environmental and Occupational Health Sciences
>     4225 Roosevelt Way NE, # 100
>     Seattle WA 98105-6099
>
>
>
>
> -- 
> Dr. Suparna Mitra
> Wolfson Centre for Personalised Medicine
> Department of Molecular and Clinical Pharmacology
> Institute of Translational Medicine University of Liverpool
> Block A: Waterhouse Buildings,  L69 3GL Liverpool
>
> Tel.  +44 (0)151 795 5394, Internal ext: 55394
> M: +44 (0) 7511387895
> Email id: smitra at liverpool.ac.uk <mailto:smitra at liverpool.ac.uk>
> Alternative Email id: suparna.mitra.sm at gmail.com 
> <mailto:suparna.mitra.sm at gmail.com>
>

-- 
James W. MacDonald, M.S.
Biostatistician
University of Washington
Environmental and Occupational Health Sciences
4225 Roosevelt Way NE, # 100
Seattle WA 98105-6099



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