recipe r-bcbiornaseq

R package for bcbio RNA-seq analysis.

Homepage

http://bioinformatics.sph.harvard.edu/bcbioRNASeq/

Developer docs

https://github.com/hbc/bcbioRNASeq

License

MIT

Recipe

/r-bcbiornaseq/meta.yaml

package r-bcbiornaseq

Versions

0.3.37-0,  0.3.36-0,  0.3.34-0,  0.3.33-1,  0.3.33-0,  0.3.32-0,  0.3.31-0,  0.3.30-0,  0.3.29-0, 

0.3.37-0,  0.3.36-0,  0.3.34-0,  0.3.33-1,  0.3.33-0,  0.3.32-0,  0.3.31-0,  0.3.30-0,  0.3.29-0,  0.3.28-0,  0.3.27-0,  0.3.26-0,  0.2.9-0,  0.2.8-0,  0.2.7-0,  0.2.4-0,  0.2.4a-0,  0.2.3a-0,  0.1.2-0

Depends

• bioconductor-biocgenerics >=0.32

• bioconductor-biocstyle >=2.14

• bioconductor-clusterprofiler >=3.14

• bioconductor-degreport >=1.22

• bioconductor-deseq2 >=1.26

• bioconductor-dose >=3.12

• bioconductor-edger >=3.28

• bioconductor-ensdb.hsapiens.v75 >=2.99

• bioconductor-org.hs.eg.db >=3.10

• bioconductor-org.mm.eg.db >=3.10

• bioconductor-pathview >=1.26

• bioconductor-rhdf5 >=2.30

• bioconductor-s4vectors >=0.24

• bioconductor-summarizedexperiment >=1.16

• bioconductor-tximport >=1.14

• bioconductor-vsn >=3.54

• r-acidgenerics >=0.3.4

• r-acidplots >=0.2.26

• r-base >=4.0,<4.1.0a0

• r-basejump >=0.12.6

• r-bcbiobase >=0.6.13

• r-cli >=2.0

• r-cowplot >=1.0

• r-deseqanalysis >=0.2.19

• r-ggplot2 >=3.2

• r-goalie >=0.4.2

• r-hexbin >=1.28

• r-knitr >=1.26

• r-rlang >=0.4

• r-rmarkdown >=2.0

• r-scales >=1.1

• r-sessioninfo >=1.1

• r-tidyverse >=1.3

• r-viridis >=0.5

Required By

Installation

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

conda install r-bcbiornaseq

and update with:

conda update r-bcbiornaseq

or use the docker container:

docker pull quay.io/biocontainers/r-bcbiornaseq:<tag>

(see r-bcbiornaseq/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/r-bcbiornaseq/README.html)