GenomicDistributions: fast analysis of genomic intervals with
Bioconductor
If you have a set of genomic ranges, this package can help you with
 visualization and comparison. It produces several kinds of plots, for example:
 Chromosome distribution plots, which visualize how your regions are distributed
 over chromosomes; feature distance distribution plots, which visualizes how
 your regions are distributed relative to a feature of interest, like
 Transcription Start Sites (TSSs); genomic partition plots, which visualize
 how your regions overlap given genomic features such as promoters, introns,
 exons, or intergenic regions. It also makes it easy to compare one set of
 ranges to another.
c(
	  person("Kristyna", "Kupkova", role=c("aut", "cre"), 
    email = "kristynakupkova@gmail.com"),
    person("Jose", "Verdezoto", role="aut"),
    person("Tessa", "Danehy", role="aut"),
    person("John", "Lawson", role="aut"),
    person("Jose", "Verdezoto", role="aut"),
    person("Michal", "Stolarczyk", role="aut"),
    person("Jason", "Smith", role="aut"),
    person("Bingjie", "Xue", role="aut"), 
    person("Sophia", "Rogers", role="aut"), 
    person("John", "Stubbs", role="aut"),
    person(given=c("Nathan", "C."), "Sheffield",
    email = "nathan@code.databio.org", role="aut"))
data.table, ggplot2, reshape2, methods, utils, Biostrings,
plyr, dplyr, GenomeInfoDb
AnnotationFilter, rtracklayer, testthat, knitr, BiocStyle,
rmarkdown
Software, GenomeAnnotation, GenomeAssembly,
DataRepresentation, Sequencing, Coverage, FunctionalGenomics,
Visualization
Kristyna Kupkova [aut, cre],
  Jose Verdezoto [aut],
  Tessa Danehy [aut],
  John Lawson [aut],
  Jose Verdezoto [aut],
  Michal Stolarczyk [aut],
  Jason Smith [aut],
  Bingjie Xue [aut],
  Sophia Rogers [aut],
  John Stubbs [aut],
  Nathan C. Sheffield [aut]