plotGeneCoverageSplit
1 2 3 | plotGeneCoverageSplit(IP_BAMs, INPUT_BAMs, size.IP, size.INPUT, X,
geneName, geneModel, libraryType = "opposite", center = mean, GTF,
ZoomIn = NULL, adjustExprLevel = "none", plotSNP = NULL, Names)
|
size.IP |
The size factor for IP libraries |
size.INPUT |
The size factor for INPUT libraries |
geneName |
The name (as defined in gtf file) of the gene you want to plot |
geneModel |
The gene model generated by gtfToGeneModel() function |
libraryType |
"opposite" for mRNA stranded library, "same" for samll RNA library |
GTF |
gtf annotation as GRanges object. Can be obtained by GTF <- rtracklayer::import("xxx.gtf",format = "gtf") |
adjustExprLevel |
A size factor representing the pre-IP expression level |
plotSNP |
The option to plot SNP on the figure. Null by default. If want to include SNP in the plot, the parameter needs to ba a dataframe like this: data.frame(loc= position, anno="A/G") |
IP_BAM |
The bam files for IP samples |
INPUT_BAM |
The bam files for INPUT samples |
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