- recipe bioconductor-edger
Empirical Analysis of Digital Gene Expression Data in R
- Homepage:
- License:
GPL (>=2)
- Recipe:
- Links:
Differential expression analysis of RNA-seq expression profiles with biological replication. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to differential signal analysis of other types of genomic data that produce read counts, including ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE and CAGE.
- package bioconductor-edger¶
-
- Versions:
3.36.0-1
,3.36.0-0
,3.34.0-0
,3.32.1-0
,3.32.0-0
,3.30.0-0
,3.28.0-1
,3.28.0-0
,3.26.5-0
,3.36.0-1
,3.36.0-0
,3.34.0-0
,3.32.1-0
,3.32.0-0
,3.30.0-0
,3.28.0-1
,3.28.0-0
,3.26.5-0
,3.26.0-0
,3.24.3-0
,3.24.1-0
,3.22.5-0
,3.20.7-0
,3.20.1-0
,3.20.0-0
,3.18.1-0
,3.16.5-0
,3.14.0-1
,3.14.0-0
,3.12.1-1
,3.12.1-0
,3.12.0-0
,3.10.5-0
- Depends:
bioconductor-limma
>=3.50.0,<3.51.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-edger
and update with:
conda update bioconductor-edger
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-edger:<tag>
(see bioconductor-edger/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-edger/README.html)