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#'@include locationplot-methods.R
NULL
#' ASEset-gviztrack ASEset objects
#'
#' plotting ASE effects over a specific genomic region
#'
#' For information of how to use these tracks in more ways, visit the Gviz
#' package manual.
#'
#' @name ASEset-gviztrack
#' @rdname ASEset-gviztrack
#' @aliases ASEset-gviztrack CoverageDataTrack ASEDAnnotationTrack
#' CoverageDataTrack,ASEset-method ASEDAnnotationTrack,ASEset-method
#' @docType methods
#' @param x an ASEset object.
#' @param GR genomic range of plotting
#' @param type 'fraction' or 'count'
#' @param strand '+','-'. This argument determines which strand is plotted.
#' @param BamList GAlignmnentsList object of reads from the same genomic region
#' as the ASEset
#' @param start start position of reads to be plotted
#' @param trackName name of track (ASEDAnnotationTrack)
#' @param meanCoverage mean of coverage over samples (CoverageGataTrack)
#' @param trackNameVec names of tracks (CoverageDataTrack)
#' @param end end position of reads to be plotted
#' @param verbose Setting \code{verbose=TRUE} gives details of procedure during
#' function run
#' @param ... arguments passed on to barplot function
#' @author Jesper R. Gadin
#' @seealso \itemize{ \item The \code{\link{ASEset}} class which the functions
#' can be called up on.}
#' @keywords ASEDAnnotationTrack CoverageDataTrack
#' @examples
#'
#' data(ASEset)
#' x <- ASEset[,1:2]
#' r <- reads[1:2]
#' genome(x) <- 'hg19'
#' seqlevels(r) <- seqlevels(x)
#'
#' GR <- GRanges(seqnames=seqlevels(x),
#' ranges=IRanges(start=min(start(x)),end=max(end(x))),
#' strand='+', genome=genome(x))
#'
#' deTrack <- ASEDAnnotationTrack(x, GR=GR, type='fraction',strand='+')
#' covTracks <- CoverageDataTrack(x,BamList=r,strand='+')
#'
#' lst <- c(deTrack,covTracks)
#'
#' sizes <- c(0.5,rep(0.5/length(covTracks),length(covTracks)))
#' #temporarily do not run this function
#' #plotTracks(lst, from=min(start(x)), to=max(end(x)),
#' #sizes=sizes, col.line = NULL, showId = FALSE, main='mainText',
#' #cex.main=1, title.width=1, type='histogram')
#'
#'
NULL
#' @rdname ASEset-gviztrack
#' @export
setGeneric("ASEDAnnotationTrack", function(x, GR = rowRanges(x), type = "fraction",
strand = "*", trackName = paste("deTrack", type), verbose = TRUE,
...) {
standardGeneric("ASEDAnnotationTrack")
})
#' @rdname ASEset-gviztrack
#' @export
setMethod("ASEDAnnotationTrack", signature(x = "ASEset"), function(x, GR = rowRanges(x),
type = "fraction", strand = "*", trackName = paste("deTrack",
type), verbose = TRUE, ...) {
# check genome
if (is.null(genome(x)) | is.na(genome(x))) {
stop(paste("genome have be set for object x", "e.g. genome(x) <- \"hg19\" "))
}
# check seqnames has length=1
if (!(length(seqlevels(x)) == 1)) {
stop("This function can only use objects with one seqlevel")
}
if (!nrow(x) == 0) {
if(strand %in% c("+","-","*")){
GR <- GRanges(seqnames = seqlevels(x), ranges = IRanges(start = min(start(x)),
end = max(end(x))), strand = strand, genome = genome(x))
}else if (strand=="both"){
GR <- GRanges(seqnames = seqlevels(x), ranges = IRanges(start = min(start(x)),
end = max(end(x))), strand = "*", genome = genome(x))
}else{
stop("strand has to be +, -, * or 'both'")
}
}else{
stop("there are no rows in ASEset")
}
#make an environment from ...
if (length(list(...)) == 0) {
e <- new.env(hash = TRUE)
} else {
e <- list2env(list(...))
}
#always TRUE
e$deAnnoPlot <- TRUE
e$x <- x
#print(ls(envir=e))
#print(e$mainvec)
if (!exists("mainvec", envir = e, inherits = FALSE)) {
e$mainvec <- rep("",nrow(e$x))
}
if (!exists("cex.mainvec", envir = e, inherits = FALSE)) {
e$cex.mainvec <- 1
}
if (!exists("ylab", envir = e, inherits = FALSE)) {
e$ylab <- ""
}
if (!exists("xlab", envir = e, inherits = FALSE)) {
e$xlab <- ""
}
if (!exists("middleLine", envir = e, inherits = FALSE)) {
e$middleLine <- TRUE
}
if (!exists("top.fraction.criteria", envir = e, inherits = FALSE)) {
e$top.fraction.criteria <- "maxcount"
}
ranges <- rowRanges(x)
colnames(x) <- 1:ncol(x)
details <- function(identifier, ...) {
if (length(list(...)) == 0) {
e2<- new.env(hash = TRUE)
} else {
e2<- list2env(list(...))
}
type<- e2$type
if (type == "fraction") {
print(barplotLatticeFraction(identifier,
...), newpage = FALSE, prefix = "plot")
} else if (type == "count") {
print(barplotLatticeCounts(identifier,
...), newpage = FALSE, prefix = "plot")
}
}
# plot the fraction
deTrack <- AnnotationTrack(
range = ranges,
genome = genome(x),
id = rownames(x),
name = trackName,
stacking = "squish",
fun = details,
detailsFunArgs = list(
ylab = e$ylab,
xlab = e$xlab,
deAnnoPlot = e$deAnnoPlot,
cex.mainvec = e$cex.mainvec,
mainvec=list(list(e$mainvec)),
type = type,
x = x,
astrand = strand,
ids = list(list(rownames(x))),
middleLine = e$middleLine,
top.fraction.criteria = e$top.fraction.criteria))
deTrack
})
#' @rdname ASEset-gviztrack
#' @export
setGeneric("CoverageDataTrack", function(x, GR = rowRanges(x), BamList = NULL, strand = NULL,
start = NULL, end = NULL, trackNameVec = NULL, meanCoverage=FALSE, verbose = TRUE, ...) {
standardGeneric("CoverageDataTrack")
#' @rdname ASEset-gviztrack
#' @export
})
setMethod("CoverageDataTrack", signature(x = "ASEset"), function(x, GR = rowRanges(x),
BamList = NULL, strand = "*", start = NULL, end = NULL, trackNameVec = NULL,
meanCoverage=FALSE, verbose = TRUE, ...) {
# GR is not in use atm. Missing is a subset of the return matrix based on the GR
# values.
if (!is.null(strand)) {
if (strand == "+") {
pstrand = TRUE
} else if (strand == "-") {
mstrand = TRUE
} else if (strand == "*") {
pstrand = TRUE
mstrand = TRUE
} else if (strand == "both") {
pstrand = TRUE
mstrand = TRUE
} else {
stop("strand has to be '+', '-', '*' or 'both' if not NULL\n")
}
} else {
stop("strand has to be '+', '-', '*' or 'both' if not NULL\n")
}
# check genome
if (is.null(genome(x)) | is.na(genome(x))) {
stop(paste("genome have be set for object x", "e.g. genome(x) <- \"hg19\" "))
}
# check seqnames has length=0
if (!(length(seqlevels(x)) == 1)) {
stop("This function can only use objects with one seqlevel")
}
if(strand=="both"){
GR.p <- GRanges(seqnames = seqlevels(x), ranges = IRanges(start = min(start(x)),
end = max(end(x))), strand = '+')
GR.m <- GRanges(seqnames = seqlevels(x), ranges = IRanges(start = min(start(x)),
end = max(end(x))), strand = '-')
}else{
GR <- GRanges(seqnames = seqlevels(x), ranges = IRanges(start = min(start(x)),
end = max(end(x))), strand = strand)
}
trackList <- list()
if (is.null(BamList)) {
stop("must include GappedAlignmentsList as BamList ")
}
# check that only one chromosome is present
if (!length(seqlevels(BamList)) == 1) {
stop("can only be one seq level\n")
}
if(strand=="both"){
covMatList <- coverageMatrixListFromGAL(BamList, strand='both')
mat.p <- covMatList[["mat"]][["plus"]]
mat.m <- covMatList[["mat"]][["minus"]]
start <- covMatList[["start"]]
end <- covMatList[["end"]]
if(meanCoverage){
vec.p <- apply(mat.p,2,mean)
mat.p <- matrix(vec.p,nrow=1)
dimnames(mat.p)[1] <- list("meancoverage")
vec.m <- apply(mat.m,2,mean)
mat.m <- matrix(vec.m,nrow=1)
dimnames(mat.m)[1] <- list("meancoverage")
}
if (is.null(trackNameVec)) {
trackNameVec <- vector()
if(!meanCoverage){
for (i in 1:ncol(x)){
trackNameVec <- c(trackNameVec,
paste(colnames(x)[i],"(+)",sep="-"),
paste(colnames(x)[i],"(-)",sep="-"))
}
}else{
trackNameVec <- c(trackNameVec,
paste(colnames(x)[i],"(+)",sep="-"),
paste(colnames(x)[i],"(-)",sep="-"))
}
} else {
if (!((length(trackNameVec)*2) == nrow(mat.p))) {
stop(paste("length of trackNameVec must be a two times the numer",
"of rows in out matrix"))
}
}
# prepare Gviz dtracks
for (j in 1:nrow(mat.p)) {
#merge strands
data <- matrix(0,nrow=2,ncol=ncol(mat.m))
data[1,] <- mat.p[j,]
data[2,] <- -mat.m[j,]
rownames(data) <- c(paste(colnames(x)[i], "(+)", sep="-"),
paste(colnames(x)[i], "(-)", sep="-"))
trackList[[length(trackList) + 1]] <- DataTrack(data = data, start = start:end,
width = 1, chromosome = seqlevels(x), genome = genome(x),
name = trackNameVec[j], groups=rownames(data),
type = "s")
}
}else{
covMatList <- coverageMatrixListFromGAL(BamList, strand)
mat <- covMatList[["mat"]]
start <- covMatList[["start"]]
end <- covMatList[["end"]]
if(meanCoverage){
vec <- apply(mat,2,mean)
mat <- matrix(vec,nrow=1)
dimnames(mat)[1] <- list("meancoverage")
}
if (is.null(trackNameVec)) {
if(!meanCoverage){
trackNameVec <- vector()
trackNameVec[1:ncol(x)] <- colnames(x)
}else{
trackNameVec <- "mean coverage"
}
} else {
if (!(length(trackNameVec) == nrow(mat))) {
stop("length of trackNameVec must be equal to cols in (ASEset)")
}
}
# prepare Gviz dtracks
for (j in 1:nrow(mat)) {
trackList[[length(trackList) + 1]] <- DataTrack(data = mat[j, ], start = start:end,
width = 1, chromosome = seqlevels(x), genome = genome(x), name = trackNameVec[j],
type = "s")
}
}
trackList
})
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