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Quantitative Metabolomics Data Processing Tools

Bioconductor version: Release (3.19)

The qmtools (quantitative metabolomics tools) package provides basic tools for processing quantitative metabolomics data with the standard SummarizedExperiment class. This includes functions for imputation, normalization, feature filtering, feature clustering, dimension-reduction, and visualization to help users prepare data for statistical analysis. This package also offers a convenient way to compute empirical Bayes statistics for which metabolic features are different between two sets of study samples. Several functions in this package could also be used in other types of omics data.

Author: Jaehyun Joo [aut, cre], Blanca Himes [aut]

Maintainer: Jaehyun Joo <jaehyunjoo at>

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


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:

Quantitative metabolomics data processing HTML R Script
Reference Manual PDF


biocViews DimensionReduction, MassSpectrometry, Metabolomics, Normalization, Preprocessing, Software
Version 1.8.0
In Bioconductor since BioC 3.15 (R-4.2) (2 years)
License GPL-3
Depends R (>= 4.2.0), SummarizedExperiment
Imports rlang, ggplot2, patchwork, heatmaply, methods, MsCoreUtils, stats, igraph, VIM, scales, grDevices, graphics, limma
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Suggests Rtsne, missForest, vsn, pcaMethods, pls, MsFeatures, impute, imputeLCMD, nlme, testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package qmtools_1.8.0.tar.gz
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macOS Binary (x86_64) qmtools_1.8.0.tgz
macOS Binary (arm64) qmtools_1.8.0.tgz
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