Last data update: 2014.03.03

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synapter : Label-free data analysis pipeline for optimal identification and quantitation

Package: synapter
Type: Package
Title: Label-free data analysis pipeline for optimal identification and
quantitation
Version: 1.14.2
Author: Laurent Gatto, Nick J. Bond and Pavel V. Shliaha
and Sebastian Gibb.
Maintainer: Laurent Gatto <lg390@cam.ac.uk> and
Sebastian Gibb <mail@sebastiangibb.de>
Depends: R (>= 2.15), methods, MSnbase
Imports: hwriter, RColorBrewer, lattice, qvalue, multtest, utils,
Biobase, knitr, Biostrings, cleaver, BiocParallel
Suggests: synapterdata, xtable, tcltk, BiocStyle
Description: 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.
License: GPL-2
URL: http://lgatto.github.com/synapter/
VignetteBuilder: knitr
biocViews: MassSpectrometry, Proteomics, GUI
NeedsCompilation: no
Packaged: 2016-05-16 03:30:37 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: GUI, MassSpectrometry, Proteomics
14 images, 10 functions, 1 datasets
Reverse Depends: 1