This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Metab

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Metab: An R Package for a High-Throughput Analysis of Metabolomics Data Generated by GC-MS.

Bioconductor version: Development (3.18)

Metab is an R package for high-throughput processing of metabolomics data analysed by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) (http://chemdata.nist.gov/mass-spc/amdis/downloads/). In addition, it performs statistical hypothesis test (t-test) and analysis of variance (ANOVA). Doing so, Metab considerably speed up the data mining process in metabolomics and produces better quality results. Metab was developed using interactive features, allowing users with lack of R knowledge to appreciate its functionalities.

Author: Raphael Aggio <ragg005 at aucklanduni.ac.nz>

Maintainer: Raphael Aggio <ragg005 at aucklanduni.ac.nz>

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

Installation

To install this package, start R (version "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("Metab")

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

Documentation

Reference Manual PDF

Details

biocViews AMDIS, GCMS, ImmunoOncology, MassSpectrometry, Metabolomics, Software
Version 1.35.1
In Bioconductor since BioC 3.0 (R-3.1) (9 years)
License GPL (>=2)
Depends xcms, R (>= 3.0.1), svDialogs
Imports pander
Linking To
Suggests RUnit, BiocGenerics
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/Metab
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Metab
Package Short Url https://bioconductor.org/packages/Metab/
Package Downloads Report Download Stats