Bioconductor version: Release (2.12)
The synapter package provides functionality to reanalyse label-free proteomics data acquired on a Synapt G2 mass spectrometer. One or several runs, possibly processed with additional ion mobility separation to increase identification accuracy can be combined to other quantitation files to maximise identification and quantitation accuracy.
Author: Laurent Gatto, Nick J. Bond and Pavel V. Shliaha
Maintainer: Laurent Gatto <lg390 at cam.ac.uk>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("synapter")
To cite this package in a publication, start R and enter:
citation("synapter")
R Script | Combining HDMSe/MSe data using 'synapter' to optimise identification and quantitation | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, GUI, MassSpectrometry, Proteomics, Software |
Version | 1.2.0 |
In Bioconductor since | BioC 2.11 (R-2.16) |
License | GPL-2 |
Depends | R (>= 2.15), methods, MSnbase |
Imports | hwriter, tcltk, tcltk2, RColorBrewer, lattice, qvalue, multtest, utils, Biobase, knitr |
Suggests | synapterdata, xtable |
System Requirements | |
URL | http://lgatto.github.com/synapter/ |
Depends On Me | synapterdata |
Imports Me | |
Suggests Me | RforProteomics |
Package Source | synapter_1.2.0.tar.gz |
Windows Binary | synapter_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | synapter_1.2.0.tgz |
Package Downloads Report | Download Stats |
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