> ATF 1.0
> 20 5
> "Type=Mapix Results 2"
> "DateTime=2008/05/15 11:05:38"
> "ConfigFile="
> "GalFile=Y:\experimental\090508\_v1.0.gal"
> "PixelSize=20"
> "Wavelengths=635 532"
> "ImageFiles=Y:\May_2008\B_1.0_090508\Images\B_1.0_090508_50.tif"
> "RatioFormulations=W1/W2 (635/532)"
> "FeatureType=Circular"
> "Barcode=0581"
> "BackgroundSubtraction=LocalFeature"
> "ImageOrigin=2110, 5479"
> "Creator=Mapix 3.0.0 (driver 1.0.25)"
> "Scanner=is700 7A02C1 706008"
> "Temperature=26.3"
> "Comment="
> "LaserPower=5.0 5.0"
> "SoftwareVersion=3.5.0.1"
> "Name" "F532 Median" "B532 Median" "F635 Median" "B635 Median"
> "V001O01" 4964.0 125.0 220.0 112.0
> "V001O01" 5340.5 122.0 240.5 95.0
> "V001O02" 5536.0 117.0 273.0 122.0
> "V001O02" 5800.5 115.0 285.5 108.0
> "V001O03" 3201.0 131.0 226.0 122.0
> ...
Looks like a gpr file to me. Yes, you can read that using te skip
parameter and read.table. But most likely you want to have a look at the
wealth of options in bioconductor - e.g. read.maimages() from limma or
read.GenePix() from marray.
cu
Philipp
--
Dr. Philipp Pagel
Lehrstuhl für Genomorientierte Bioinformatik
Technische Universität München
Wissenschaftszentrum Weihenstephan
85350 Freising, Germany
and
Institut für Bioinformatik und Systembiologie / MIPS
Helmholtz Zentrum München -
Deutsches Forschungszentrum für Gesundheit und Umwelt
Ingolstädter Landstrasse 1
85764 Neuherberg, Germany
http://mips.gsf.de/staff/pagel
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