yamss

DOI: 10.18129/B9.bioc.yamss    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see yamss.

Tools for high-throughput metabolomics

Bioconductor version: 3.11

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.

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

Maintainer: Leslie Myint <leslie.myint at gmail.com>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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")

 

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

Details

biocViews	ImmunoOncology, MassSpectrometry, Metabolomics, Software
Version	1.14.0
In Bioconductor since	BioC 3.4 (R-3.3) (4 years)
License	Artistic-2.0
Depends	R (>= 3.3.0), methods, BiocGenerics(>= 0.15.3), SummarizedExperiment
Imports	IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table, grDevices, limma
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat
SystemRequirements
Enhances
URL	https://github.com/hansenlab/yamss
BugReports	https://github.com/hansenlab/yamss/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	yamss_1.14.0.tar.gz
Windows Binary	yamss_1.14.0.zip
macOS 10.13 (High Sierra)	yamss_1.14.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/yamss
Source Repository (Developer Access)	git clone [email protected]:packages/yamss
Package Short Url	https://bioconductor.org/packages/yamss/
Package Downloads Report	Download Stats