recipe bioconductor-brgenomics

Tools for the Efficient Analysis of High-Resolution Genomics Data

Homepage

https://bioconductor.org/packages/3.11/bioc/html/BRGenomics.html

License

Artistic-2.0

Recipe

/bioconductor-brgenomics/meta.yaml

This package provides useful and efficient utilites for the analysis of high-resolution genomic data using standard Bioconductor methods and classes. BRGenomics is feature-rich and simplifies a number of post-alignment processing steps and data handling. Emphasis is on efficient analysis of multiple datasets, with support for normalization and blacklisting. Included are functions for: spike-in normalizing data; generating basepair-resolution readcounts and coverage data (e.g. for heatmaps); importing and processing bam files (e.g. for conversion to bigWig files); generating metaplots/metaprofiles (bootstrapped mean profiles) with confidence intervals; conveniently calling DESeq2 without using sample-blind estimates of genewise dispersion; among other features.

package bioconductor-brgenomics

(downloads) docker_bioconductor-brgenomics

Versions

1.0.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-brgenomics

and update with:

conda update bioconductor-brgenomics

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-brgenomics:<tag>

(see bioconductor-brgenomics/tags for valid values for <tag>)