Registration and Call for Abstracts Open for Bioc2024

yamss

This is the development version of yamss; for the stable release version, see yamss.

Tools for high-throughput metabolomics


Bioconductor version: Development (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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.29.4
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
See More
Suggests BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package yamss_1.29.4.tar.gz
Windows Binary yamss_1.29.4.zip
macOS Binary (x86_64) yamss_1.29.4.tgz
macOS Binary (arm64)
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