recipe bioconductor-yarn

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

Homepage

https://bioconductor.org/packages/3.11/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

1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0

Depends

• bioconductor-biobase >=2.48.0,<2.49.0

• bioconductor-biomart >=2.44.0,<2.45.0

• bioconductor-edger >=3.30.0,<3.31.0

• bioconductor-limma >=3.44.0,<3.45.0

• bioconductor-preprocesscore >=1.50.0,<1.51.0

• bioconductor-quantro >=1.22.0,<1.23.0

• r-base >=4.0,<4.1.0a0

• 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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