recipe bioconductor-nbamseq

Negative Binomial Additive Model for RNA-Seq Data

Homepage

https://bioconductor.org/packages/3.10/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

1.2.0-0, 1.0.0-1

Depends

• bioconductor-biocparallel >=1.20.0,<1.21.0

• bioconductor-deseq2 >=1.26.0,<1.27.0

• bioconductor-genefilter >=1.68.0,<1.69.0

• bioconductor-s4vectors >=0.24.0,<0.25.0

• bioconductor-summarizedexperiment >=1.16.0,<1.17.0

• r-base >=3.6,<3.7.0a0

• 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

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