recipe bioconductor-yarn

YARN: Robust Multi-Condition RNA-Seq Preprocessing and Normalization

Homepage

https://bioconductor.org/packages/3.10/bioc/html/yarn.html

License

Artistic-2.0

Recipe

/bioconductor-yarn/meta.yaml

Links

biotools: yarn, doi: 10.1101/086587

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.

package bioconductor-yarn

Versions

1.12.0-0, 1.10.0-1, 1.8.0-0, 1.6.0-0, 1.4.0-0

Depends

• bioconductor-biobase >=2.46.0,<2.47.0

• bioconductor-biomart >=2.42.0,<2.43.0

• bioconductor-edger >=3.28.0,<3.29.0

• bioconductor-limma >=3.42.0,<3.43.0

• bioconductor-preprocesscore >=1.48.0,<1.49.0

• bioconductor-quantro >=1.20.0,<1.21.0

• r-base >=3.6,<3.7.0a0

• r-downloader

• r-gplots

• r-matrixstats

• r-rcolorbrewer

• r-readr

Required By

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>)

Link to this page

Render an badge with the following MarkDown:

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