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yamss

Tools for high-throughput metabolomics

Bioconductor version: 3.24 · Package version: 1.39.0

Tools to analyze and visualize high-throughput metabolomics data aquired using chromatography-mass spectrometry. These tools preprocess data in a way that enables reliable and powerful differential analysis. At the core of these methods is a peak detection phase that pools information across all samples simultaneously. This is in contrast to other methods that detect peaks in a sample-by-sample basis.

Installation

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

BiocManager::install("yamss")

Details

MaintainerLeslie Myint <leslie.myint@gmail.com>
AuthorLeslie Myint [cre, aut] (ORCID: <https://orcid.org/0000-0003-2478-0331>), Kasper Daniel Hansen [aut]
LicenseArtistic-2.0
URLhttps://github.com/hansenlab/yamss
Bug Reportshttps://github.com/hansenlab/yamss/issues
Downloads rank595
Source branchdevel
biocViewsMassSpectrometry, Metabolomics, PeakDetection, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageyamss_1.39.0.tar.gz
Windows binary (x86_64)yamss_1.39.0.zip
macOS binary (arm64)yamss_1.39.0.tgz
macOS binary (x86_64)yamss_1.39.0.tgz
Dependencies

Depends: R (>= 4.3.0), methods, BiocGenerics (>= 0.15.3), SummarizedExperiment

Imports: IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table, grDevices, limma

Suggests: BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat