-
recipe
bioconductor-easyrnaseq¶ Count summarization and normalization for RNA-Seq data
- Homepage
https://bioconductor.org/packages/3.10/bioc/html/easyRNASeq.html
- License
Artistic-2.0
- Recipe
- Links
biotools: easyrnaseq
Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as ‘RPKM’ or by the ‘DESeq’ or ‘edgeR’ package.
-
package
bioconductor-easyrnaseq¶ 
- Versions
2.22.0-0, 2.20.0-1, 2.18.2-0, 2.16.0-0, 2.14.0-0
- Depends
bioconductor-biobase >=2.46.0,<2.47.0
bioconductor-biocfilecache >=1.10.0,<1.11.0
bioconductor-biocgenerics >=0.32.0,<0.33.0
bioconductor-biocparallel >=1.20.0,<1.21.0
bioconductor-biomart >=2.42.0,<2.43.0
bioconductor-biostrings >=2.54.0,<2.55.0
bioconductor-deseq >=1.38.0,<1.39.0
bioconductor-edger >=3.28.0,<3.29.0
bioconductor-genomeinfodb >=1.22.0,<1.23.0
bioconductor-genomeintervals >=1.42.0,<1.43.0
bioconductor-genomicalignments >=1.22.0,<1.23.0
bioconductor-genomicranges >=1.38.0,<1.39.0
bioconductor-iranges >=2.20.0,<2.21.0
bioconductor-rsamtools >=2.2.0,<2.3.0
bioconductor-s4vectors >=0.24.0,<0.25.0
bioconductor-shortread >=1.44.0,<1.45.0
bioconductor-summarizedexperiment >=1.16.0,<1.17.0
r-base >=3.6,<3.7.0a0
r-lsd >=4.0
r-rappdirs >=0.3.1
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-easyrnaseq
and update with:
conda update bioconductor-easyrnaseq
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-easyrnaseq:<tag>
(see bioconductor-easyrnaseq/tags for valid values for
<tag>)
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-easyrnaseq/README.html)