pcastellanoescuder/POMA: User-friendly Workflow for Metabolomics and Proteomics Data Analysis
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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | MassSpectrometry Metabolomics Normalization Preprocessing Proteomics ReportWriting Software Visualization |
| Maintainer | |
| License | GPL-3 |
| Version | 1.1.15 |
| URL | https://github.com/pcastellanoescuder/POMA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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