- recipe bioconductor-bayseq
Empirical Bayesian analysis of patterns of differential expression in count data
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/baySeq.html
- License
GPL-3
- Recipe
- Links
biotools: bayseq, doi: 10.1186/1471-2105-11-422
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
- package bioconductor-bayseq¶
-
- Versions
2.28.0-0
,2.26.0-0
,2.24.0-1
,2.24.0-0
,2.22.0-0
,2.20.0-0
,2.18.0-1
,2.16.0-0
,2.14.0-0
,2.28.0-0
,2.26.0-0
,2.24.0-1
,2.24.0-0
,2.22.0-0
,2.20.0-0
,2.18.0-1
,2.16.0-0
,2.14.0-0
,2.12.0-0
,2.10.0-0
- Depends
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-bayseq
and update with:
conda update bioconductor-bayseq
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-bayseq:<tag>
(see bioconductor-bayseq/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-bayseq/README.html)