[BioC] Memory issues with limma and ImaGen file import
Gordon Smyth
smyth at wehi.EDU.AU
Tue May 2 02:48:39 CEST 2006
Dear Christian,
I have now identified the bug. It is fixed in limma 2.7.1 which
should be available from CRAN in a couple of days.
Thanks to Peter Morrison of biodiscovery.com who enabled me to find
the bug by sending me some example data files.
Best wishes
Gordon
>Date: Fri, 28 Apr 2006 16:21:43 +0200
>From: "Christian Spieth" <Christian.Spieth at uni-tuebingen.de>
>Subject: [BioC] Memory issues with limma and ImaGen file import
>To: <bioconductor at stat.math.ethz.ch>
>
>Hi,
>
>I am having a problem with limma 2.4.13 and ImaGene files:
>Whenever I try to read the files as described in the manual
>
>targets <- readTargets()
>files <- targets[,c("FileNameCy3","FileNameCy5")]
>RG <- read.maimages(files, source ="imagene")
>
>R aborts the operation with the following error message:
>
> > RG <- read.maimages(files,source="imagene")
>Read header information
>Fehler: kann Vektor der Gr??e 3200000 Kb nicht allozieren
>(Error: unable to allocate a vector of size 3200000 Kb)
>
>I am trying to read 10 chip files ( 5 replication with red and green).
>Each file is approx. 6MB. Is there a special format of the ImaGene files?
>My files start with
>
>
>Begin Header
> version 5.6.1
> Date Mon Apr 24 20:13:17 CEST 2006
> Image File
>X:\Lab_Hochholdinger\Individual_folders\Diana\microarray\lrt\replicate1\01Mu
>rot\0G701Murot.tif
> Page 0
> Page Name
> Inverted false
> Begin Field Dimensions
> Field Metarows Metacols Rows Cols
> A 8 4 20 20
> B 4 4 20 20
> End Field Dimensions
> Begin Measurement parameters
> Segmentation Method auto
> Signal Low 0.0
> Signal High 0.0
> Background Low 0.0
> Background High 0.0
> Background Buffer 3.0
> Background Width 5.0
> End Measurement parameters
> Begin Alerts
> Control Type Minimum threshold If tested
>Percentage allowed If failed Maximum threshold If tested
>Percentage allowed If failed CV threshold If tested If
>failed
> End Alerts
> Begin Quality settings
> Empty Spots true Threshold: 2.0
> Poor Spots true
> Begin Poor Spots Parameters
> Background contamination flag true Threshold:
>0.9995
> Background tested against subgrid data only true
> Signal contamination flag false Threshold:
>0.9995
> Signal contamination test connected to background
>contamination threshold false
> Ignored percentage flag true Threshold: 25.0
> Open perimeter flag true Threshold: 30.0
> Shape regularity flag true Threshold: 0.6
> Area To Perimeter Ratio flag false Threshold:
>0.7
> Offset flag true Threshold: 60.0
> End Poor Spots Parameters
> Negative Spots true
>
> End Quality settings
>End Header
>Begin Raw Data
> Field Meta Row Meta Column Row Column Gene ID Flag
>Signal Mean Background Mean Signal Median Background Median
>Signal Mode Background Mode Signal Area Background Area Signal Total
>Background Total Signal Stdev Background Stdev Shape
>Regularity Ignored Area Spot Area Ignored Median Area To
>Perimeter Open Perimeter XCoord YCoord Diameter Position
>offset Offset X Offset Y Expected X Expected Y CM-X
>CM-Y CM Offset CM Offset-X CM Offset-Y Min Diam Max
>Diam Control Failed Control Background contamination present
>Signal contamination present Ignored % failed Open perimeter
>failed Shape regularity failed Perim-to-area failed Offset failed
>Empty spot Negative spot Selected spot
> A 1 1 1 1 HakeT2_V2-I-13-CB250166 0
>6628.6592 637.9275 6496.0 542.0 6694.4912 441.2314
>179.0 262.0 1186530.0 167137.0 2784.5909 466.856
>0.895 0.0 179.0 null 0.9763 0.0 1898.0 5548.0 16.0
>1.824 -0.7266 -1.673 1898.7266 5549.673 1898.3799
>5547.8547 1.851 -0.3467 -1.8183 14.7603 15.6522 0 0
>0 0 0 0 0 0 0 0 0
>
>......
>
>
>
>
>The error happens both under Windows (1GB RAM) and Linux (4GB RAM).
>Anyone an idea?
>
>Thanks in advance!
>
>christian
>
>
>--
> Christian Spieth
> Dipl.-Ing., MSc (Oxon)
> Center for Bioinformatics (ZBIT), Univ. Tuebingen
> NGFN - Nationales GenomForschungsNetz
> Sand 1, D-72076 Tuebingen, Germany
> Phone (+49/0) 7071 29 78987, Fax (+49/0) 7071 29 5091
>mailto:christian.spieth at uni-tuebingen.de
> http://www-ra.informatik.uni-tuebingen.de
>
> PGP fingerprint = 8A AC FD DA 57 A3 15 67 23 16 15 0A BD 04 AC A7 MD5
> Fingerprint = 22a9627dcc5302371de7764b40c2be6d
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