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

Package details

Bioconductor views MassSpectrometry Metabolomics Normalization Preprocessing Proteomics ReportWriting Software Visualization
URL https://github.com/pcastellanoescuder/POMA
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
pcastellanoescuder/POMA documentation built on May 14, 2021, 11:07 p.m.