Bioconductor version: Release (3.16)
High level functions to assist in annotation of (metabolomics) data sets. These include functions to perform simple tentative annotations based on mass matching but also functions to consider m/z and retention times for annotation of LC-MS features given that respective reference values are available. In addition, the function provides high-level functions to simplify matching of LC-MS/MS spectra against spectral libraries and objects and functionality to represent and manage such matched data.
Author: Michael Witting [aut] , Johannes Rainer [aut, cre] , Andrea Vicini [aut] , Carolin Huber [aut] , Nir Shachaf [ctb]
Maintainer: Johannes Rainer <Johannes.Rainer at eurac.edu>
Citation (from within R,
enter citation("MetaboAnnotation")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MetaboAnnotation")
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:
browseVignettes("MetaboAnnotation")
HTML | R Script | Annotation of MS-based Metabolomics Data |
Reference Manual | ||
Text | NEWS |
biocViews | Infrastructure, MassSpectrometry, Metabolomics, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.15 (R-4.2) (1 year) |
License | Artistic-2.0 |
Depends | R (>= 4.0.0) |
Imports | BiocGenerics, MsCoreUtils, MetaboCoreUtils, ProtGenerics, methods, S4Vectors, Spectra(>= 1.7.2), BiocParallel, SummarizedExperiment, QFeatures, graphics, CompoundDb |
LinkingTo | |
Suggests | testthat, knitr, msdata, BiocStyle, rmarkdown, plotly, shiny, shinyjs, DT, AnnotationHub |
SystemRequirements | |
Enhances | RMariaDB, RSQLite |
URL | https://github.com/RforMassSpectrometry/MetaboAnnotation |
BugReports | https://github.com/RforMassSpectrometry/MetaboAnnotation/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | MetaboAnnotation_1.2.0.tar.gz |
Windows Binary | MetaboAnnotation_1.2.0.zip |
macOS Binary (x86_64) | MetaboAnnotation_1.2.0.tgz |
macOS Binary (arm64) | MetaboAnnotation_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MetaboAnnotation |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MetaboAnnotation |
Bioc Package Browser | https://code.bioconductor.org/browse/MetaboAnnotation/ |
Package Short Url | https://bioconductor.org/packages/MetaboAnnotation/ |
Package Downloads Report | Download Stats |
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