GRangesQuantitativeTrack-class | R Documentation |
GRangesQuantitativeTrack
creates and IGV
track for bed objects imported using rtracklayer
GRangesQuantitativeTrack( trackName, quantitativeData, color = "blue", trackHeight = 50, autoscale = TRUE, 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 GRanges object with (at least) a "score" metadata column |
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 GRangesQuantitativeTrack object
base.loc <- 88883100 tbl <- 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), name=c("a", "b", "c"), score=runif(3), strand=rep("*", 3), stringsAsFactors=FALSE) gr <- GRanges(tbl) track <- GRangesQuantitativeTrack("GRangesQTest", gr)
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