recipe bioconductor-poma

Tools for Omics Data Analysis

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-poma/meta.yaml

A reproducible and easy-to-use toolkit for visualization, pre-processing, exploration, and statistical analysis of omics datasets. The main aim of POMA is to enable a flexible data cleaning and statistical analysis processes in one comprehensible and user-friendly R package. This package has a Shiny app version called POMAShiny that implements all POMA functions. See https://github.com/pcastellanoescuder/POMAShiny. See Castellano-Escuder P, González-Domínguez R, Carmona-Pontaque F, et al. (2021) <doi:10.1371/journal.pcbi.1009148> for more details.

package bioconductor-poma

Versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-2,  1.0.0-1

Depends:

• bioconductor-complexheatmap >=2.14.0,<2.15.0

• bioconductor-deseq2 >=1.38.0,<1.39.0

• bioconductor-impute >=1.72.0,<1.73.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-mixomics >=6.22.0,<6.23.0

• bioconductor-rankprod >=3.24.0,<3.25.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-broom

• r-caret

• r-dbscan

• r-dplyr

• r-ggplot2

• r-ggrepel

• r-glasso >=1.11

• r-glmnet

• r-magrittr

• r-randomforest

• r-rmarkdown

• r-tibble

• r-tidyr

• r-uwot

• r-vegan

Required By:

Installation

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

conda install bioconductor-poma

and update with:

conda update bioconductor-poma

or use the docker container:

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

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

Download stats

Link to this page

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