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

This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see flagme.

Analysis of Metabolomics GC/MS Data

Bioconductor version: 3.1

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")):

To install this package, start R and enter:

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

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 GCMS-based metabolomics data
PDF		Reference Manual
Text		NEWS

biocViews	DifferentialExpression, MassSpectrometry, Software
Version	1.24.0
In Bioconductor since	BioC 2.4 (R-2.9) (7 years)
License	LGPL (>= 2)
Depends	gcspikelite, xcms, CAMERA
Imports	gplots, graphics, MASS, methods, SparseM, stats, utils
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Build Report

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

Package Source	flagme_1.24.0.tar.gz
Windows Binary	flagme_1.24.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	flagme_1.24.0.tgz
Mac OS X 10.9 (Mavericks)	flagme_1.24.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/flagme/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/flagme/
Package Downloads Report	Download Stats

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