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MetaboDynamics

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21

Bayesian analysis of longitudinal metabolomics data


Bioconductor version: Development (3.24)

MetaboDynamics is an R-package that provides a framework of probabilistic models to analyze longitudinal metabolomics data. It enables robust estimation of mean concentrations despite varying spread between timepoints and reports differences between timepoints as well as metabolite specific dynamics profiles that can be used for identifying "dynamics clusters" of metabolites of similar dynamics. Provides probabilistic over-representation analysis of KEGG functional modules and pathways as well as comparison between clusters of different experimental conditions.

Author: Katja Danielzik [aut, cre] ORCID iD ORCID: 0009-0007-5021-6212 , Simo Kitanovski [ctb] ORCID iD ORCID: 0000-0003-2909-5376 , Johann Matschke [ctb] ORCID iD ORCID: 0000-0003-4878-8741 , Daniel Hoffmann [ctb] ORCID iD ORCID: 0000-0003-2973-7869

Maintainer: Katja Danielzik <katja.danielzik at uni-due.de>

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

Katja Danielzik. MetaboDynamics: Bayesian analysis of longitudinal metabolomics data. doi:10.18129/B9.bioc.MetaboDynamics, R package version 2.3.13, https://bioconductor.org/packages/MetaboDynamics.

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")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("MetaboDynamics")

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("MetaboDynamics")
2. MetaboDynamics_dataframes HTML R Script
3. MetaboDynamics_Guide_to_prior_setting HTML R Script
1. MetaboDynamics HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Bayesian, Clustering, FunctionalPrediction, KEGG, Metabolomics, MultipleComparison, Pathways, Software, TimeCourse
Version2.3.13
In Bioconductor sinceBioC 3.21 (R-4.5) (1.5 years)
License GPL (>= 3)
Depends R (>= 4.4.0)
Imports dplyr, ggplot2, KEGGREST, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), S4Vectors, stringr, SummarizedExperiment, tidyr, dynamicTreeCut, rlang, ape, ggtree, patchwork
System RequirementsGNU make
URLhttps://github.com/KatjaDanielzik/MetaboDynamics
Bug Reportshttps://github.com/KatjaDanielzik/MetaboDynamics/issues
See More
Suggests knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0)
Linking To BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
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Build Report Build Report, r-universe

Package Archives

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

Source Package MetaboDynamics_2.3.13.tar.gz
Windows Binary (x86_64) MetaboDynamics_2.3.13.zip (64-bit only)
macOS Binary (big-sur-x86_64) MetaboDynamics_2.3.13.tgz
macOS Binary (sonoma-arm64) MetaboDynamics_2.3.13.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MetaboDynamics
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MetaboDynamics
Package Short Url https://bioconductor.org/packages/MetaboDynamics/
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