epistack
Heatmaps of Stack Profiles from Epigenetic Signals
Bioconductor version: 3.23 · Package version: 1.18.0
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: 1) a genomic score objects, such as ChIP-seq coverage or DNA methylation values, provided as a `GRanges` (easily obtained from `bigwig` or `bam` files). 2) a list of feature of interest, such as peaks or transcription start sites, provided as a `GRanges` (easily obtained from `gtf` or `bed` files). 3) a score to sort the features, such as peak height or gene expression value.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("epistack") Details
| Maintainer | DEVAILLY Guillaume <gdevailly@hotmail.com> |
| Author | SACI Safia [aut], DEVAILLY Guillaume [cre, aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/GenEpi-GenPhySE/epistack |
| Downloads rank | 284 |
| Source branch | RELEASE_3_23 |
| biocViews | ChIPSeq, Coverage, GeneExpression, Preprocessing, RNASeq, Software |
Documentation
Download
Dependencies
Depends: R (>= 4.1)
Imports: GenomicRanges, SummarizedExperiment, BiocGenerics, S4Vectors, IRanges, graphics, plotrix, grDevices, stats, methods
Suggests: testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, EnrichedHeatmap, biomaRt, rtracklayer, covr, vdiffr, magick