## gene view with log scale representation of the supporting reads
## it's a convient wrapper to call chrom_plot
## NOTE the interface is from gene_plot in the hope that the function will
## be refact
gene_plot_log = function(GeneModel, txConsensus, txReads, txHighlight,
title, plotTopToBottom=TRUE, axisHeight= 20, annotationTrackHeight=2,
consensusTrackHeight = 5,consensusFeatureHeight = 3, trackHeights, readHeight) {
myfunc = identity
isPlusStrand = as.logical(unique(strand(txConsensus)) == "+")
if( isPlusStrand ) myfunc = invertStrand
plotDat = list(
consensus = myfunc(txConsensus),
geneModel = myfunc(GeneModel),
highlight = txHighlight,
reads = myfunc(txReads)
)
if(!missing(title)){
plotDat$name = title
}
extraMargin = 1000 ## in bp
allTx = GenomicRanges::reduce(c(granges(GeneModel), granges(txConsensus)))
coord = allTx + extraMargin + width(allTx) * 0.1
## TODO change gene mode track height
chrom_plot(plotDat,coord=c(start(coord), end(coord)),
plotCountNum=TRUE,debug=FALSE, featureHeightPerRead = consensusFeatureHeight,
config=generate_plot_config(list(readConsensus=list(height=consensusTrackHeight), geneModel=list(height=5))), annotationTrackHeight = annotationTrackHeight,
spaceBetweenCluster = 4, shiftLabel=TRUE,geneNameTrackHeight=0, geneTrackHeight=0, singleStrand=TRUE, consensusNameFontsize = 5, highlightFontsize=5, genomeAxisHeight=axisHeight)
}
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