recipe bioconductor-metaseqr2

An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms

Homepage

https://bioconductor.org/packages/3.11/bioc/html/metaseqR2.html

License

GPL (>= 3)

Recipe

/bioconductor-metaseqr2/meta.yaml

Provides an interface to several normalization and statistical testing packages for RNA-Seq gene expression data. Additionally, it creates several diagnostic plots, performs meta-analysis by combinining the results of several statistical tests and reports the results in an interactive way.

package bioconductor-metaseqr2

Versions

1.0.11-0

Depends

• bioconductor-absseq >=1.42.0,<1.43.0

• bioconductor-bayseq >=2.22.0,<2.23.0

• bioconductor-biobase >=2.48.0,<2.49.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-biomart >=2.44.0,<2.45.0

• bioconductor-biostrings >=2.56.0,<2.57.0

• bioconductor-deseq >=1.39.0,<1.40.0

• bioconductor-deseq2 >=1.28.0,<1.29.0

• bioconductor-dss >=2.36.0,<2.37.0

• bioconductor-edaseq >=2.22.0,<2.23.0

• bioconductor-edger >=3.30.0,<3.31.0

• bioconductor-genomeinfodb >=1.24.0,<1.25.0

• bioconductor-genomicalignments >=1.24.0,<1.25.0

• bioconductor-genomicfeatures >=1.40.0,<1.41.0

• bioconductor-genomicranges >=1.40.0,<1.41.0

• bioconductor-iranges >=2.22.0,<2.23.0

• bioconductor-limma >=3.44.0,<3.45.0

• bioconductor-noiseq >=2.31.0,<2.32.0

• bioconductor-qvalue >=2.20.0,<2.21.0

• bioconductor-rsamtools >=2.4.0,<2.5.0

• bioconductor-rtracklayer >=1.48.0,<1.49.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• bioconductor-survcomp >=1.38.0,<1.39.0

• bioconductor-vsn >=3.56.0,<3.57.0

• r-base >=4.0,<4.1.0a0

• r-corrplot

• r-dt

• r-gplots

• r-heatmaply

• r-htmltools

• r-httr

• r-jsonlite

• r-locfit

• r-log4r

• r-magrittr

• r-nbpseq

• r-pander

• r-rmarkdown

• r-rmdformats

• r-rsqlite

• r-stringr

• r-venndiagram

• r-zoo

Required By

Installation

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

conda install bioconductor-metaseqr2

and update with:

conda update bioconductor-metaseqr2

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-metaseqr2:<tag>

(see bioconductor-metaseqr2/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-metaseqr2/README.html)