Nothing
.read454QualityFilterMetrics_character <- function(object){
qfm = read.table(file=object, sep=",",
colClasses=c("character","character"),
fill=TRUE, col.names=c("V1", "V2"))
# Extract the user specified analysis name, i.e. the last part of the
# analysis directory name.
ind = qfm[,1] == "analysisName"
analysisName = unlist(strsplit(qfm[ind, 2], "_"))
analysisName = analysisName[length(analysisName)]
# Extract indices
regInd = qfm[,1] == "region"
totalRWInd = qfm[,1] == "totalRawWells"
keySeqInd = qfm[,1] == "keySequence"
numKeyPassInd = qfm[,1] == "numKeyPass"
numDotFailedInd = qfm[,1] == "numDotFailed"
numMixedFailedInd = qfm[,1] == "numMixedFailed"
numTTSQInd = qfm[,1] == "numTrimmedTooShortQuality"
numTTSPInd = qfm[,1] == "numTrimmedTooShortPrimer"
totalPFInd = qfm[,1] == "totalPassedFiltering"
# Create data frame for aggregated information (both keys)
dataTotal = data.frame(
AnalysisName=analysisName,
Region=qfm[regInd, 2],
RawWells=as.numeric(qfm[totalRWInd, 2]))
rownames(dataTotal) = paste(dataTotal$AnalysisName,
dataTotal$Region, sep="_")
# Create data frame for TCAG and CATG keys
dataTmp = data.frame(
AnalysisName=analysisName,
Region=as.vector(rbind(qfm[regInd, 2], qfm[regInd, 2])),
NumKeyPass=as.numeric(qfm[numKeyPassInd, 2]),
NumDotFailed=as.numeric(qfm[numDotFailedInd, 2]),
NumMixedFailed=as.numeric(qfm[numMixedFailedInd, 2]),
NumTrimmedTooShortQuality=as.numeric(qfm[numTTSQInd, 2]),
NumTrimmedTooShortPrimer=as.numeric(qfm[numTTSPInd, 2]),
TotalPassedFiltering=as.numeric(qfm[totalPFInd, 2]))
dataTmp = split(dataTmp, factor(qfm[keySeqInd, 2]))
dataTCAG = dataTmp$TCAG
dataCATG = dataTmp$CATG
rownames(dataTCAG) = paste(dataTCAG$AnalysisName, dataTCAG$Region, sep="_")
rownames(dataCATG) = paste(dataCATG$AnalysisName, dataCATG$Region, sep="_")
qfm = new("Roche454QualityFilterMetrics")
qfm@dataTotal = dataTotal
qfm@dataTCAG = dataTCAG
qfm@dataCATG = dataCATG
return(qfm)
}
setMethod("read454QualityFilterMetrics", signature="character",
.read454QualityFilterMetrics_character)
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