recipe bioconductor-easyrnaseq

Count summarization and normalization for RNA-Seq data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/easyRNASeq.html

License:

Artistic-2.0

Recipe:

/bioconductor-easyrnaseq/meta.yaml

Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as 'RPKM' or by the 'DESeq' or 'edgeR' package.

package bioconductor-easyrnaseq

Versions:

2.34.0-0,  2.30.0-0,  2.28.0-0,  2.24.1-0,  2.22.0-0,  2.20.0-1,  2.18.2-0,  2.16.0-0,  2.14.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocfilecache >=2.6.0,<2.7.0

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-biomart >=2.54.0,<2.55.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomeintervals >=1.54.0,<1.55.0

• bioconductor-genomicalignments >=1.34.0,<1.35.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-rsamtools >=2.14.0,<2.15.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-shortread >=1.56.0,<1.57.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-locfit

• r-lsd >=4.1-0

• r-rappdirs >=0.3.1

Required By:

• bioconductor-msgbsr

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-easyrnaseq

and update with:

conda update bioconductor-easyrnaseq

or use the docker container:

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

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

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