recipe bioconductor-edaseq

Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

Homepage

https://bioconductor.org/packages/3.9/bioc/html/EDASeq.html

License

Artistic-2.0

Recipe

/bioconductor-edaseq/meta.yaml

Links

biotools: edaseq

package bioconductor-edaseq

(downloads) docker_bioconductor-edaseq

Versions

2.16.0-0, 2.14.1-0, 2.12.0-0, 2.10.0-0, 2.8.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-edaseq

and update with:

conda update bioconductor-edaseq

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-edaseq:<tag>

(see bioconductor-edaseq/tags for valid values for <tag>)