MetMashR

Metabolite Mashing with R


Bioconductor version: Release (3.20)

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] , 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 "4.4") 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")
Annotation of mixtures of standards HTML R Script
Exploring the MTox700+ library HTML R Script
Extending MetMashR HTML R Script
Using MetMashR HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews KEGG, Metabolomics, Software, WorkflowStep
Version 1.0.0
In Bioconductor since BioC 3.20 (R-4.4) (< 6 months)
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
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Package Archives

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

Source Package MetMashR_1.0.0.tar.gz
Windows Binary (x86_64) MetMashR_1.0.0.zip
macOS Binary (x86_64) MetMashR_1.0.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/MetMashR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MetMashR
Bioc Package Browser https://code.bioconductor.org/browse/MetMashR/
Package Short Url https://bioconductor.org/packages/MetMashR/
Package Downloads Report Download Stats