recipe bioconductor-yarn

Expedite large RNA-Seq analyses using a combination of previously developed tools. YARN is meant to make it easier for the user in performing basic mis-annotation quality control, filtering, and condition-aware normalization. YARN leverages many Bioconductor tools and statistical techniques to account for the large heterogeneity and sparsity found in very large RNA-seq experiments.

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-yarn/meta.yaml

Links

biotools: yarn, doi: 10.1101/086587

package bioconductor-yarn

(downloads) docker_bioconductor-yarn

Versions

1.8.0-0, 1.6.0-0, 1.4.0-0

Depends bioconductor-biobase

>=2.42.0,<2.43.0

Depends bioconductor-biomart

>=2.38.0,<2.39.0

Depends bioconductor-edger

>=3.24.0,<3.25.0

Depends bioconductor-limma

>=3.38.0,<3.39.0

Depends bioconductor-preprocesscore

>=1.44.0,<1.45.0

Depends bioconductor-quantro

>=1.16.0,<1.17.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-downloader

Depends r-gplots

Depends r-matrixstats

Depends r-rcolorbrewer

Depends r-readr

Requirements

Installation

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

conda install bioconductor-yarn

and update with:

conda update bioconductor-yarn

or use the docker container:

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

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