To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("SIMAT")

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

SIMAT

 

GC-SIM-MS data processing and alaysis tool

Bioconductor version: Release (3.1)

This package provides a pipeline for analysis of GC-MS data acquired in selected ion monitoring (SIM) mode. The tool also provides a guidance in choosing appropriate fragments for the targets of interest by using an optimization algorithm. This is done by considering overlapping peaks from a provided library by the user.

Author: Mo R. Nezami Ranjbar <nranjbar at vt.edu>

Maintainer: Mo R. Nezami Ranjbar <nranjbar at vt.edu>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("SIMAT")

Documentation

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

browseVignettes("SIMAT")

 

PDF R Script UNDO Demo
PDF   Reference Manual
Text   NEWS

Details

biocViews MassSpectrometry, Metabolomics, Software
Version 1.0.0
In Bioconductor since BioC 3.1 (R-3.2) (< 6 months)
License GPL-2
Depends R (>= 3.0.0), Rcpp (>= 0.11.3)
Imports mzR, ggplot2, grid, reshape2
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL http://omics.georgetown.edu/SIMAT.html
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source SIMAT_1.0.0.tar.gz
Windows Binary SIMAT_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) SIMAT_1.0.0.tgz
Mac OS X 10.9 (Mavericks) SIMAT_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/SIMAT/tree/release-3.1
Package Short Url http://bioconductor.org/packages/SIMAT/
Package Downloads Report Download Stats

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