Nothing
PloGO <- function(zipFile = "none", termFile="none", ontology = "BP",
ontologyLevel = 2, reference = "none",
data.file.name = "none", datafile.ignore.cols = 1,
filesPath=".", node=NULL, aggregateFun="sum", logAb=FALSE,...)
{
results <- list()
if (!(termFile %in% c("", "none"))) {
termList <- as.vector(read.delim(termFile)[,1])
tpList <- getGoID(termList)
GOIDlist <- names(tpList)
results$termList <- termList
} else {
GOIDlist <- GOTermList(ontology, as.numeric(ontologyLevel), node)
results$GOLevel <- ontologyLevel
results$GOOntology <- ontology
}
if ( !(zipFile %in% c("", "none") ) ) {
# unzip to tempdir
files <- unzip(zipFile, exdir=tempdir())
#cat(files)
} else {
files <- list.files(filesPath)
files <- paste(filesPath, files, sep="/")
}
file.list <- files[grep("\\.txt$", files)]
# don't try to analyze Annot files just in case from previous run
if (length(-grep("^Annot", file.list)) > 0) file.list <- file.list[-grep("^Annot", file.list)];
file.names <- gsub("\\.txt", "", unlist(lapply(file.list, FUN=basename)))
DATA <- TRUE
if (data.file.name %in% c("", "none") ) {
DATA <- FALSE
data.file.name <- NULL
}
results$datafileName <- data.file.name
results$datafile.ignore.cols <- datafile.ignore.cols
useReference <- (!(reference == "none"))
# JW, get the protein IDs from each file
list.prot.ids = lapply(file.list, function(x) read.annot.file(x)[,1])
names(list.prot.ids) = basename(file.list)
results$list.prot.ids = list.prot.ids
res.list <- processAnnotation(file.list, GOIDlist, data.file.name,
printFiles=FALSE, datafile.ignore.cols=datafile.ignore.cols,
aggregateFun=aggregateFun)
# should review annotationPlot - DP Nov 2019
annot.res <- annotationPlot(res.list, plot=TRUE, trimzero=TRUE)
results$Counts <- annot.res$counts
results$Percentages <- annot.res$percentages
Group <- NULL
if (DATA) {
gp <- names(read.csv(data.file.name))[-seq_len(datafile.ignore.cols)]
gp <- inferGroup(gp)
if (min(summary(gp)) == max(summary(gp))) {
Group <- gp;
results$inferredGroup <- Group
}
abundance <- abundancePlot(res.list, Group=Group, log=logAb);
results$Abundance <- abundance$abundance
results$aggregatedAbundance <- abundance$ag.mat
# The levelplots and barcharts
results$list.levelplots <- abundance$list.levelplots
results$list.barplots <- abundance$list.barplots
}
if (useReference) {
comp <- compareAnnot(res.list, reference);
results$FisherPval <- comp
}
results$Group = Group
results$res.list <- res.list
results
}
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