recipe bioconductor-nbamseq

Negative Binomial Additive Model for RNA-Seq Data

Homepage

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

License

GPL-2

Recipe

/bioconductor-nbamseq/meta.yaml

High-throughput sequencing experiments followed by differential expression analysis is a widely used approach to detect genomic biomarkers. A fundamental step in differential expression analysis is to model the association between gene counts and covariates of interest. NBAMSeq a flexible statistical model based on the generalized additive model and allows for information sharing across genes in variance estimation.

package bioconductor-nbamseq

Versions

1.4.1-0,  1.2.0-0,  1.0.0-1

Depends

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-deseq2 >=1.28.0,<1.29.0

• bioconductor-genefilter >=1.70.0,<1.71.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-base >=4.0,<4.1.0a0

• r-mgcv >=1.8-24

Required By

Installation

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

conda install bioconductor-nbamseq

and update with:

conda update bioconductor-nbamseq

or use the docker container:

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

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

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-nbamseq/README.html)