The epistack package main objective is the visualizations of stacks
of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq,
DNA methyation or genomic conservation data)
centered at genomic regions of interest. epistack needs three
different inputs:
a genomic score objects, such as ChIP-seq coverage or DNA methylation values,
provided as a GRanges (easily obtained from bigwig or bam files)
a list of feature of interest, such as peaks or transcription start sites,
provided as a GRanges (easily obtained from gtf or bed files)
a score to sort the features, such as peak height or gene expression value
Installation
To install the package from Bioconductor, use:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("epistack")
You can install the GitHub version of epistack from R using :
epistack
The
epistackpackage main objective is the visualizations of stacks of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq, DNA methyation or genomic conservation data) centered at genomic regions of interest.epistackneeds three different inputs:GRanges(easily obtained frombigwigorbamfiles)GRanges(easily obtained fromgtforbedfiles)Installation
To install the package from Bioconductor, use:
You can install the GitHub version of epistack from
Rusing :Documentation
A version of
epistackvignette can be read here.Funding
{epistack} recieved financial support from INRAE and from Agence Nationnale de la Recherche through the funding ANR-19-DATA-0007.