yamss

DOI: 10.18129/B9.bioc.yamss    

Tools for high-throughput metabolomics

Bioconductor version: Release (3.6)

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 <lmyint1 at jhu.edu>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("yamss")

Documentation

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

Details

biocViews	MassSpectrometry, Metabolomics, Software
Version	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 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
Build Report

Package Archives

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

Source Package	yamss_1.4.0.tar.gz
Windows Binary	yamss_1.4.0.zip
Mac OS X 10.11 (El Capitan)	yamss_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/yamss
Package Short Url	http://bioconductor.org/packages/yamss/
Package Downloads Report	Download Stats