recipe bioconductor-bionar

Biological Network Analysis in R

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-bionar/meta.yaml

the R package BioNAR, developed to step by step analysis of PPI network. The aim is to quantify and rank each protein’s simultaneous impact into multiple complexes based on network topology and clustering. Package also enables estimating of co-occurrence of diseases across the network and specific clusters pointing towards shared/common mechanisms.

package bioconductor-bionar

Versions:

1.0.0-0

Depends:

• bioconductor-annotationdbi >=1.60.0,<1.61.0

• bioconductor-fgsea >=1.24.0,<1.25.0

• bioconductor-go.db >=3.16.0,<3.17.0

• bioconductor-org.hs.eg.db >=3.16.0,<3.17.0

• bioconductor-synaptome.db >=0.99.0,<0.100.0

• r-base >=4.2,<4.3.0a0

• r-clustercons

• r-dplyr

• r-ggplot2

• r-ggrepel

• r-igraph

• r-latex2exp

• r-powerlaw

• r-rdpack

• r-rspectra

• r-rspectral

• r-scales

• r-stringr

• r-wgcna

Required By:

Installation

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

conda install bioconductor-bionar

and update with:

conda update bioconductor-bionar

or use the docker container:

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

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

Download stats

Link to this page

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