- recipe bioconductor-nbamseq
Negative Binomial Additive Model for RNA-Seq Data
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/NBAMSeq.html
- License
GPL-2
- Recipe
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
1.10.0-0
,1.8.0-0
,1.6.1-1
,1.6.1-0
,1.4.1-0
,1.2.0-0
,1.0.0-1
- Depends
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-deseq2
>=1.34.0,<1.35.0
bioconductor-genefilter
>=1.76.0,<1.77.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-nbamseq/README.html)