DOI: 10.18129/B9.bioc.POMA    

This is the development version of POMA; for the stable release version, see POMA.

User-friendly Workflow for Metabolomics and Proteomics Data Analysis

Bioconductor version: Development (3.15)

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.

Author: Pol Castellano-Escuder [aut, cre] , Cristina Andrés-Lacueva [aut] , Alex Sánchez-Pla [aut]

Maintainer: Pol Castellano-Escuder <polcaes at gmail.com>

Citation (from within R, enter citation("POMA")):


To install this package, start R (version "4.2") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



HTML R Script POMA EDA Example
HTML R Script POMA Normalization Methods
HTML R Script POMA Workflow
PDF   Reference Manual
Text   NEWS


biocViews MassSpectrometry, Metabolomics, Normalization, Preprocessing, Proteomics, ReportWriting, Software, Visualization
Version 1.5.0
In Bioconductor since BioC 3.12 (R-4.0) (1 year)
License GPL-3
Depends R (>= 4.0)
Imports broom, caret, clisymbols, ComplexHeatmap, crayon, dplyr, e1071, ggcorrplot, ggplot2, ggraph, ggrepel, glasso (>= 1.11), glmnet, impute, knitr, limma, magrittr, mixOmics, MSnbase(>= 2.12), patchwork, qpdf, randomForest, RankProd(>= 3.14), rmarkdown, tibble, tidyr, vegan
Suggests Biobase, BiocStyle, covr, plotly, tidyverse, testthat (>= 2.3.2)
URL https://github.com/pcastellanoescuder/POMA
BugReports https://github.com/pcastellanoescuder/POMA/issues
Depends On Me
Imports Me
Suggests Me fobitools
Links To Me
Build Report  

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Follow Installation instructions to use this package in your R session.

Source Package POMA_1.5.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra) POMA_1.5.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/POMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/POMA
Package Short Url https://bioconductor.org/packages/POMA/
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