DataFrameQuantitativeTrack-class | R Documentation |
DataFrameQuantitativeTrack
creates and IGV
track for bed objects imported using rtracklayer
DataFrameQuantitativeTrack(
trackName,
quantitativeData,
color = "blue",
trackHeight = 50,
autoscale,
min = NA_real_,
max = NA_real_,
visibilityWindow = 1e+05
)
trackName |
A character string, used as track label by igv, we recommend unique names per track. |
quantitativeData |
A base R |
color |
A CSS color name (e.g., "red" or "#FF0000") |
trackHeight |
track height, typically in range 20 (for annotations) and up to 1000 (for large sample vcf files) |
autoscale |
Autoscale track to maximum value in view |
min |
Sets the minimum value for the data (y-axis) scale. Usually zero. |
max |
Sets the maximum value for the data (y-axis) scale. This value is ignored if autoscale is TRUE |
visibilityWindow |
Maximum window size in base pairs for which indexed annotations or variants are displayed. Defaults: 1 MB for variants, whole chromosome for other track types. |
Detailed description goes here
A DataFrameQuantitativeTrack object
DataFrameAnnotationTrack
GRangesQuantitativeTrack
GRangesAnnotationTrack
DataFrameAnnotationTrack
DataFrameQuantitativeTrack
GRangesAnnotationTrack
GRangesQuantitativeTrack
GenomicAlignmentTrack
UCSCBedAnnotationTrack
UCSCBedGraphQuantitativeTrack
VariantTrack
igvAnnotationTrack
base.loc <- 88883100
tbl.blocks <- data.frame(chrom=rep("chr5", 3),
start=c(base.loc, base.loc+100, base.loc + 250),
end=c(base.loc + 50, base.loc+120, base.loc+290),
score=runif(3),
stringsAsFactors=FALSE)
track.blocks <- DataFrameQuantitativeTrack("blocks", tbl.blocks, autoscale=TRUE)
locs <- seq(from=base.loc, length.out=1000)
tbl.wig <- data.frame(chrom=rep("chr5", 1000), start=locs-1, end=locs,
score=runif(n=1000, min=-1, max=1))
track.wig <- DataFrameQuantitativeTrack("wig", tbl.wig, autoscale=FALSE,
min=min(tbl.wig$score), max=max(tbl.wig$score),
color="random")
if(interactive()){
igv <- igvR()
setGenome(igv, "hg38")
setBrowserWindowTitle(igv, "DataFrameQuantitativeTrack demo")
displayTrack(igv, track.blocks)
roi <- sprintf("%s:%d-%d", tbl.blocks$chrom[1],
min(tbl.blocks$start)-1000, max(tbl.blocks$end) + 1000)
showGenomicRegion(igv, roi)
displayTrack(igv, track.wig)
}
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