- recipe bioconductor-seqgsea
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/SeqGSEA.html
- License
GPL (>= 3)
- Recipe
The package generally provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene's differential expression and splicing, respectively.
- package bioconductor-seqgsea¶
-
- Versions
1.34.0-0
,1.32.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biomart
>=2.50.0,<2.51.0
bioconductor-deseq2
>=1.34.0,<1.35.0
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-seqgsea
and update with:
conda update bioconductor-seqgsea
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-seqgsea:<tag>
(see bioconductor-seqgsea/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-seqgsea/README.html)