- recipe bioconductor-bayseq
Empirical Bayesian analysis of patterns of differential expression in count data
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/baySeq.html
- License:
GPL-3
- Recipe:
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:
2.40.0-0
,2.36.0-0
,2.31.0-1
,2.31.0-0
,2.28.0-0
,2.26.0-0
,2.24.0-1
,2.24.0-0
,2.22.0-0
,2.40.0-0
,2.36.0-0
,2.31.0-1
,2.31.0-0
,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:
>=4.4.0,<4.5.0
- depends bioconductor-genomicranges:
>=1.58.0,<1.59.0
- depends r-abind:
- depends r-base:
>=4.4,<4.5.0a0
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-bayseq and update with:: mamba update bioconductor-bayseq
To create a new environment, run:
mamba create --name myenvname bioconductor-bayseq
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-bayseq/README.html)