To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SIMAT")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SIMAT")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SIMAT")
UNDO Demo | ||
Reference Manual | ||
Text | NEWS |
biocViews | MassSpectrometry, Metabolomics, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | SIMAT_1.2.0.tar.gz |
Windows Binary | SIMAT_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | SIMAT_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | SIMAT_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/SIMAT/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/SIMAT/ |
Package Downloads Report | Download Stats |
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