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).
| Home | http://bioconductor.org/packages/3.7/bioc/html/EDASeq.html |
| Versions | 2.14.1, 2.12.0, 2.10.0, 2.8.0 |
| License | Artistic-2.0 |
| Recipe | https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-edaseq |
| Links | biotools: 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
A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-edaseq.
Link to this page¶
Render an 
badge with the following Markdown:
[](http://bioconda.github.io/recipes/bioconductor-edaseq/README.html)
