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Tools for high-throughput metabolomics

Bioconductor version: Release (3.19)

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.

Author: Leslie Myint [cre, aut] , Kasper Daniel Hansen [aut]

Maintainer: Leslie Myint <leslie.myint at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

yamss User's Guide HTML R Script
Reference Manual PDF


biocViews MassSpectrometry, Metabolomics, PeakDetection, Software
Version 1.30.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License Artistic-2.0
Depends R (>= 4.3.0), methods, BiocGenerics(>= 0.15.3), SummarizedExperiment
Imports IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table, grDevices, limma
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Follow Installation instructions to use this package in your R session.

Source Package yamss_1.30.0.tar.gz
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macOS Binary (x86_64) yamss_1.30.0.tgz
macOS Binary (arm64) yamss_1.30.0.tgz
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