This is the development version of Macarron; for the stable release version, see Macarron.
Prioritization of potentially bioactive metabolic features from epidemiological and environmental metabolomics datasetsBioconductor version: Development (3.22)
Macarron is a workflow for the prioritization of potentially bioactive metabolites from metabolomics experiments. Prioritization integrates strengths of evidences of bioactivity such as covariation with a known metabolite, abundance relative to a known metabolite and association with an environmental or phenotypic indicator of bioactivity. Broadly, the workflow consists of stratified clustering of metabolic spectral features which co-vary in abundance in a condition, transfer of functional annotations, estimation of relative abundance and differential abundance analysis to identify associations between features and phenotype/condition.
Author: Amrisha Bhosle [aut], Ludwig Geistlinger [aut], Sagun Maharjan [aut, cre]
Maintainer: Sagun Maharjan <sagunmaharjann at gmail.com>
Citation (from within R, entercitation("Macarron")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("Macarron")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Macarron")
Details biocViews Clustering, Coverage, FunctionalPrediction, Metabolomics, Sequencing, Software Version 1.13.2 In Bioconductor since BioC 3.15 (R-4.2) (3 years) License MIT + file LICENSE Depends R (>= 4.2.0), SummarizedExperiment Imports BiocParallel, DelayedArray, WGCNA, ff, data.table, dynamicTreeCut, Maaslin2, plyr, stats, psych, xml2, httr, RJSONIO, logging, methods, utils System Requirements URL http://huttenhower.sph.harvard.edu/macarron Bug Reports https://forum.biobakery.org/c/microbial-community-profiling/macarron See More Package Archives
Follow Installation instructions to use this package in your R session.
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