POMA: User-friendly Workflow for Pre-processing and Statistical Analysis of Mass Spectrometry Data

POMA introduces a structured, reproducible and easy-to-use workflow for the visualization, pre-processing, exploratory and statistical analysis of mass spectrometry 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 details

AuthorPol Castellano-Escuder [aut, cre] (<https://orcid.org/0000-0001-6466-877X>), Raúl González-Domínguez [aut] (<https://orcid.org/0000-0002-7640-8833>), Cristina Andrés-Lacueva [aut] (<https://orcid.org/0000-0002-8494-4978>), Alex Sánchez-Pla [aut] (<https://orcid.org/0000-0002-8673-7737>)
Bioconductor views MassSpectrometry Metabolomics Normalization Preprocessing Proteomics ReportWriting Software Visualization
MaintainerPol Castellano-Escuder <polcaes@gmail.com>
URL https://github.com/pcastellanoescuder/POMA
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the POMA package in your browser

Any scripts or data that you put into this service are public.

POMA documentation built on Nov. 8, 2020, 6:26 p.m.