- recipe bioconductor-poma
User-friendly Workflow for Metabolomics and Proteomics Data Analysis
- Homepage:
- License:
GPL-3
- Recipe:
A structured, reproducible and easy-to-use workflow for the visualization, pre-processing, exploratory data analysis, and statistical analysis of metabolomics and proteomics data. 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 also has a Shiny app version that implements all POMA functions. See https://github.com/pcastellanoescuder/POMAShiny.
- package bioconductor-poma¶
-
- Versions:
1.4.0-0
,1.2.0-0
,1.0.0-2
,1.0.0-1
- Depends:
bioconductor-complexheatmap
>=2.10.0,<2.11.0
bioconductor-impute
>=1.68.0,<1.69.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-mixomics
>=6.17.0,<6.18.0
bioconductor-msnbase
>=2.20.0,<2.21.0
bioconductor-rankprod
>=3.20.0,<3.21.0
r-base
>=4.1,<4.2.0a0
r-glasso
>=1.11
- 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-poma/README.html)