recipe bioconductor-cner

CNE Detection and Visualization

Homepage

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

License

GPL-2 | file LICENSE

Recipe

/bioconductor-cner/meta.yaml

Links

biotools: cner, doi: 10.1038/nmeth.3252

Large-scale identification and advanced visualization of sets of conserved noncoding elements.

package bioconductor-cner

Versions

1.22.0-0, 1.20.0-1, 1.18.1-0, 1.16.1-0, 1.14.0-0, 1.12.1-0, 1.10.2-0

Depends

• bioconductor-annotate >=1.64.0,<1.65.0

• bioconductor-biocgenerics >=0.32.0,<0.33.0

• bioconductor-biostrings >=2.54.0,<2.55.0

• bioconductor-genomeinfodb >=1.22.0,<1.23.0

• bioconductor-genomicalignments >=1.22.0,<1.23.0

• bioconductor-genomicranges >=1.38.0,<1.39.0

• bioconductor-go.db >=3.10.0,<3.11.0

• bioconductor-iranges >=2.20.0,<2.21.0

• bioconductor-keggrest >=1.26.0,<1.27.0

• bioconductor-rtracklayer >=1.46.0,<1.47.0

• bioconductor-s4vectors >=0.24.0,<0.25.0

• bioconductor-xvector >=0.26.0,<0.27.0

• libgcc-ng >=7.3.0

• r-base >=3.6,<3.7.0a0

• r-dbi >=0.7

• r-ggplot2 >=2.1.0

• r-powerlaw >=0.60.3

• r-r.utils >=2.3.0

• r-readr >=0.2.2

• r-reshape2 >=1.4.1

• r-rsqlite >=0.11.4

Required By

• bioconductor-tfbstools

Installation

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

conda install bioconductor-cner

and update with:

conda update bioconductor-cner

or use the docker container:

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

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

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-cner/README.html)