- recipe bioconductor-coseq
Co-Expression Analysis of Sequencing Data
- Homepage
- License
GPL-3
- Recipe
Co-expression analysis for expression profiles arising from high-throughput sequencing data. Feature (e.g., gene) profiles are clustered using adapted transformations and mixture models or a K-means algorithm, and model selection criteria (to choose an appropriate number of clusters) are provided.
- package bioconductor-coseq¶
-
- Versions
1.18.0-0
,1.16.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.6.0-0
- Depends
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-deseq2
>=1.34.0,<1.35.0
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-htsfilter
>=1.34.0,<1.35.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
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-coseq
and update with:
conda update bioconductor-coseq
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-coseq:<tag>
(see bioconductor-coseq/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-coseq/README.html)