bioconductor-edaseq

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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).

Home http://bioconductor.org/packages/release/bioc/html/EDASeq.html
Versions 2.8.0
License Artistic-2.0
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-edaseq

Installation

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

conda install bioconductor-edaseq

and update with:

conda update bioconductor-edaseq

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-edaseq.