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Bioconductor - MetMashR

MetMashR

This is the released version of MetMashR; for the devel version, see MetMashR.

Metabolite Mashing with R

Bioconductor version: Release (3.21)

A package to merge, filter sort, organise and otherwise mash together metabolite annotation tables. Metabolite annotations can be imported from multiple sources (software) and combined using workflow steps based on S4 class templates derived from the `struct` package. Other modular workflow steps such as filtering, merging, splitting, normalisation and rest-api queries are included.

Author: Gavin Rhys Lloyd [aut, cre] ORCID: 0000-0001-7989-6695 , Ralf Johannes Maria Weber [aut]

Maintainer: Gavin Rhys Lloyd <g.r.lloyd at bham.ac.uk>

Citation (from within R, enter citation("MetMashR")): Installation

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("MetMashR")

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

Documentation

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

browseVignettes("MetMashR")

Details biocViews KEGG, Metabolomics, Software, WorkflowStep Version 1.2.0 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) License GPL-3 Depends R (>= 4.3.0), struct Imports dplyr, methods, httr, scales, ggthemes, ggplot2, utils, rlang, cowplot, stats System Requirements URL https://computational-metabolomics.github.io/MetMashR/ Bug Reports https://github.com/computational-metabolomics/MetMashR/issues See More Suggests covr, httptest, knitr, rmarkdown, testthat (>= 3.0.0), rgoslin, DT, RSQLite, CompoundDb, BiocStyle, BiocFileCache, msPurity, ChemmineOB, rsvg, metabolomicsWorkbenchR, KEGGREST, plyr, magick, structToolbox, RVenn, ggVennDiagram, patchwork, XML, GO.db, tidytext, tidyr, tidyselect, ComplexUpset, jsonlite, openxlsx Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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

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