read.celfiles: Parser to CEL files
In benilton/oligo-release: Preprocessing tools for oligonucleotide arrays.

Description Usage Arguments Details Value See Also Examples

Reads CEL files.

read.celfiles(..., filenames, pkgname, phenoData, featureData,
experimentData, protocolData, notes, verbose=TRUE, sampleNames,
rm.mask=FALSE, rm.outliers=FALSE, rm.extra=FALSE, checkType=TRUE)

read.celfiles2(channel1, channel2, pkgname, phenoData, featureData,
experimentData, protocolData, notes, verbose=TRUE, sampleNames,
rm.mask=FALSE, rm.outliers=FALSE, rm.extra=FALSE, checkType=TRUE)

`...`	names of files to be read.
`filenames`	a `character` vector with the CEL filenames.
`channel1`	a `character` vector with the CEL filenames for the first 'channel' on a Tiling application
`channel2`	a `character` vector with the CEL filenames for the second 'channel' on a Tiling application
`pkgname`	alternative data package to be loaded.
`phenoData`	`phenoData`
`featureData`	`featureData`
`experimentData`	`experimentData`
`protocolData`	`protocolData`
`notes`	`notes`
`verbose`	`logical`
`sampleNames`	`character` vector with sample names (usually better descriptors than the filenames)
`rm.mask`	`logical`. Read masked?
`rm.outliers`	`logical`. Remove outliers?
`rm.extra`	`logical`. Remove extra?
`checkType`	`logical`. Check type of each file? This can be time consuming.

When using 'affyio' to read in CEL files, the user can read compressed CEL files (CEL.gz). Additionally, 'affyio' is much faster than 'affxparser'.

The function guesses which annotation package to use from the header of the CEL file. The user can also provide the name of the annotaion package to be used (via the pkgname argument). If the annotation package cannot be loaded, the function returns an error. If the annotation package is not available from BioConductor, one can use the pdInfoBuilder package to build one.

`ExpressionFeatureSet`	if Expresssion arrays
`ExonFeatureSet`	if Exon arrays
`SnpFeatureSet`	if SNP arrays
`TilingFeatureSet`	if Tiling arrays

list.celfiles, read.xysfiles

if(require(pd.mapping50k.xba240) & require(hapmap100kxba)){
celPath <- system.file("celFiles", package="hapmap100kxba")
celFiles <- list.celfiles(celPath, full.name=TRUE)
affySnpFeatureSet <- read.celfiles(celFiles)
}