Nothing
`MEDME.readFiles` <-
function(path = getwd(), files = NULL, format, organism) {
format = tolower(format)
# checks
if(format!='sgr' && format!='gff') {stop('format has to be either sgr or gff ..')}
if(is.null(files)) {
if(format=='sgr') {
if(length(grep('sgr', dir(path)))==0) stop('there are not sgr files in the provided path ..')
}
if(format=='gff') {
if(length(grep('gff', dir(path)))==0) stop('there are not gff files in the provided path ..')
}
}
chrs = c(paste('chr', 1:22, sep=''), 'chrX', 'chrY')
datain= NULL
previousPos = NULL
if(format=='sgr') {
# Tab-delimited files with no header and chr, chr positions and score are expected in columns 1, 2 and 3 repectively.
# They are also expected to be in the same order of rows.
if(is.null(files)) {
filenames = dir(path, full.names=TRUE)[grep('sgr', dir(path))]
filenamesShort = dir(path, full.names=FALSE)[grep('sgr', dir(path))]
samplenames = gsub('.sgr','', filenamesShort, fixed=TRUE)
}
else {
filenames = files
samplenames = files
}
for(filename in filenames) {
filedata = read.table(filename, sep='\t', header=FALSE, row.names=NULL)
datapos = filedata[,2]
if(!is.null(previousPos) && !identical(datapos, previousPos)) stop('files are not concordant in order or assignement of probes positions ..')
else previousPos = datapos
datain = cbind(datain, filedata[,3])
}
datachr = filedata[,1]
colnames(datain) = samplenames
datain = data.frame(as.character(datachr), datapos, datain, check.names=FALSE, stringsAsFactors=FALSE)
colnames(datain)[1:2] = c('chr','pos')
warning('the resulting dataset lacks official probe-names as rownames ..')
}
if(format=='gff') {
# Tab-delimited files with header and chr, start and stop chr positions, and score are expected in columns 1, 4, 5 and 6 repectively.
# They are also expected to be in the same order of rows.
if(is.null(files)) {
filenames = dir(path, full.names=TRUE)[grep('gff', dir(path))]
filenamesShort = dir(path, full.names=FALSE)[grep('gff', dir(path))]
samplenames = gsub('.gff','', filenamesShort, fixed=TRUE)
}
else {
filenames = files
samplenames = files
}
for(filename in filenames) {
filedata = read.table(filename, sep='\t', header=TRUE, row.names=NULL)
datapos = round(rowMeans(cbind(as.numeric(filedata[,4]), as.numeric(filedata[,5]))))
if(!is.null(previousPos) && !identical(datapos, previousPos)) stop('files are not concordant in order or assignement of probes positions ..')
else previousPos = datapos
datain = cbind(datain, filedata[,6])
}
datachr = filedata[,1]
dataprobes = filedata[,3]
colnames(datain) = samplenames
datain = data.frame(as.character(datachr), datapos, datain, check.names=FALSE, stringsAsFactors=FALSE)
colnames(datain)[1:2] = c('chr','pos')
if(length(dataprobes)== length(unique(dataprobes))) rownames(datain) = dataprobes
else {warning('no unique probe names provided on column 3; the resulting dataset lacks rownames ..')}
}
if(length(intersect(datachr, chrs))==0) warning('currently only human chromosome names formatted as chr1, chr2, .. , chrX, chrY are supported ..')
# creating MEDMEset object
MEDMEsetObj = new('MEDMEset', chr = datain$chr, pos = datain$pos, logR = as.matrix(datain[,3:ncol(datain)]), organism = organism)
return(MEDMEsetObj)
}
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