Package: synapter
Type: Package
Title: Label-free data analysis pipeline for optimal identification and
        quantitation
Version: 2.6.1
Author: Laurent Gatto, Nick J. Bond, Pavel V. Shliaha and
    Sebastian Gibb.
Authors@R: c(person(given = "Laurent", family = "Gatto",
	                  email = "lg390@cam.ac.uk",
                    role = c("aut", "cre")),
             person(given = c("Nick", "J."), family = "Bond",
                    role = c("aut")),
             person(given = c("Pavel", "V."), family = "Shliaha",
                    role = c("aut")),
             person(given = "Sebastian", family = "Gibb",
	                  email = "mail@sebastiangibb.de",
                    role = c("aut", "cre")))
Maintainer: Laurent Gatto <lg390@cam.ac.uk> and
 Sebastian Gibb <mail@sebastiangibb.de>
Depends: R (>= 3.1.0), methods, MSnbase (>= 2.1.2)
Imports: RColorBrewer, lattice, qvalue, multtest, utils, tools,
        Biobase, knitr, Biostrings, cleaver (>= 1.3.3), readr (>= 0.2),
        rmarkdown (>= 1.0)
Suggests: synapterdata (>= 1.13.2), xtable, testthat (>= 0.8), BRAIN,
        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: https://lgatto.github.io/synapter/
VignetteBuilder: knitr
biocViews: ImmunoOncology, MassSpectrometry, Proteomics, QualityControl
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/synapter
git_branch: RELEASE_3_8
git_last_commit: 0dcf262
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: no
Packaged: 2019-01-05 00:45:13 UTC; biocbuild
Built: R 3.5.2; ; 2019-01-05 09:49:31 UTC; unix
