recipe bioconductor-pram

Publicly available RNA-seq data is routinely used for retrospective analysis to elucidate new biology. Novel transcript discovery enabled by large collections of RNA-seq datasets has emerged as one of such analysis. To increase the power of transcript discovery from large collections of RNA-seq datasets, we developed a new R package named Pooling RNA-seq and Assembling Models (PRAM), which builds transcript models in intergenic regions from pooled RNA-seq datasets. This package includes functions for defining intergenic regions, extracting and pooling related RNA-seq alignments, predicting, selected, and evaluating transcript models.

Homepage

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

License

GPL (>= 3)

Recipe

/bioconductor-pram/meta.yaml

package bioconductor-pram

(downloads) docker_bioconductor-pram

Versions

1.0.0-1

Depends
Required By

Installation

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

conda install bioconductor-pram

and update with:

conda update bioconductor-pram

or use the docker container:

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

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