recipe bioconductor-genomicsupersignature

Interpretation of RNA-seq experiments through robust, efficient comparison to public databases

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-genomicsupersignature/meta.yaml

This package provides a novel method for interpreting new transcriptomic datasets through near-instantaneous comparison to public archives without high-performance computing requirements. Through the pre-computed index, users can identify public resources associated with their dataset such as gene sets, MeSH term, and publication. Functions to identify interpretable annotations and intuitive visualization options are implemented in this package.

package bioconductor-genomicsupersignature

Versions:

1.6.0-0,  1.2.0-0,  1.0.1-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocfilecache >=2.6.0,<2.7.0

• bioconductor-complexheatmap >=2.14.0,<2.15.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-dplyr

• r-flextable

• r-ggplot2

• r-ggpubr

• r-irlba

• r-plotly

Required By:

Installation

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

conda install bioconductor-genomicsupersignature

and update with:

conda update bioconductor-genomicsupersignature

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-genomicsupersignature/README.html)