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yamss

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 gmail.com>

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

Installation

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


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

BiocManager::install("yamss")

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("yamss")
yamss User's Guide HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews MassSpectrometry, Metabolomics, PeakDetection, Software
Version 1.30.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 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
System Requirements
URL https://github.com/hansenlab/yamss
Bug Reports https://github.com/hansenlab/yamss/issues
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Suggests BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat
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Package Archives

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

Source Package yamss_1.30.0.tar.gz
Windows Binary yamss_1.30.0.zip
macOS Binary (x86_64) yamss_1.30.0.tgz
macOS Binary (arm64) yamss_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/yamss
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/yamss
Bioc Package Browser https://code.bioconductor.org/browse/yamss/
Package Short Url https://bioconductor.org/packages/yamss/
Package Downloads Report Download Stats