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>

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

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

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