This is the development version of profileplyr; for the stable release version, see profileplyr.
Visualization and annotation of read signal over genomic ranges with profileplyrBioconductor version: Development (3.22)
Quick and straightforward visualization of read signal over genomic intervals is key for generating hypotheses from sequencing data sets (e.g. ChIP-seq, ATAC-seq, bisulfite/methyl-seq). Many tools both inside and outside of R and Bioconductor are available to explore these types of data, and they typically start with a bigWig or BAM file and end with some representation of the signal (e.g. heatmap). profileplyr leverages many Bioconductor tools to allow for both flexibility and additional functionality in workflows that end with visualization of the read signal.
Author: Tom Carroll and Doug Barrows
Maintainer: Tom Carroll <tc.infomatics at gmail.com>, Doug Barrows <doug.barrows at gmail.com>
Citation (from within R, entercitation("profileplyr")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("profileplyr")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("profileplyr")Follow Installation instructions to use this package in your R session.
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