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metaboliteIDmapping

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12

Mapping of Metabolite IDs from Different Sources


Bioconductor version: Release (3.23)

The package provides a comprehensive mapping table of nine different Metabolite ID formats and their common name. The data has been collected and merged from four publicly available source, including HMDB, Comptox Dashboard, ChEBI, and the graphite Bioconductor R package.

Author: Sebastian Canzler [aut, cre] ORCID iD ORCID: 0000-0001-7935-9582

Maintainer: Sebastian Canzler <sebastian.canzler at ufz.de>

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

Sebastian Canzler. metaboliteIDmapping: Mapping of Metabolite IDs from Different Sources. doi:10.18129/B9.bioc.metaboliteIDmapping, R package version 1.0.0, https://bioconductor.org/packages/metaboliteIDmapping.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("metaboliteIDmapping")

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("metaboliteIDmapping")
metaboliteIDmapping HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews AnnotationData, AnnotationHub, CustomDBSchema, FunctionalAnnotation
Version1.0.0
In Bioconductor sinceBioC 3.12 (R-4.0) (6 years)
License GPL-3
Depends R (>= 4.0.0)
Imports AnnotationHub
System Requirements
URLhttps://github.com/yigbt/metaboliteIDmapping
See More
Suggests magrittr, graphite, dplyr, tidyr, tibble, rappdirs, XML, readxl, stringr, utils, knitr, sets, R.utils, readr, conflicted, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me multiGSEA
Suggests Me
Links To Me

Package Archives

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

Source Package metaboliteIDmapping_1.0.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Package Short Url https://bioconductor.org/packages/metaboliteIDmapping/
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