To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

flagme

 

   

Analysis of Metabolomics GC/MS Data

Bioconductor version: Release (3.4)

Fragment-level analysis of gas chromatography - mass spectrometry metabolomics data

Author: Mark Robinson <mark.robinson at imls.uzh.ch>, Riccardo Romoli <riccardo.romoli at unifi.it>

Maintainer: Mark Robinson <mark.robinson at imls.uzh.ch>, Riccardo Romoli <riccardo.romoli at unifi.it>

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

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("flagme")

 

PDF R Script Using flagme -- Fragment-level analysis of GC-MS-based metabolomics data
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, MassSpectrometry, Software
Version 1.30.0
In Bioconductor since BioC 2.4 (R-2.9) (8 years)
License LGPL (>= 2)
Depends gcspikelite, xcms, CAMERA
Imports gplots, graphics, MASS, methods, SparseM, stats, utils
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source flagme_1.30.0.tar.gz
Windows Binary flagme_1.30.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) flagme_1.30.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/flagme/tree/release-3.4
Package Short Url http://bioconductor.org/packages/flagme/
Package Downloads Report Download Stats

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