Bioconductor version: Release (3.14)
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, Pavel V. Shliaha and Sebastian Gibb.
Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be> Sebastian Gibb <mail at sebastiangibb.de>
Citation (from within R,
enter citation("synapter")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("synapter")
For older versions of R, please refer to the appropriate Bioconductor release.
Reference Manual |
biocViews | ImmunoOncology, MassSpectrometry, Proteomics, QualityControl, Software |
Version | 2.18.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (9.5 years) |
License | GPL-2 |
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) |
LinkingTo | |
Suggests | synapterdata(>= 1.13.2), xtable, testthat (>= 0.8), BRAIN, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://lgatto.github.io/synapter/ |
Depends On Me | synapterdata |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | synapter_2.18.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | synapter_2.18.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/synapter |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/synapter |
Package Short Url | https://bioconductor.org/packages/synapter/ |
Package Downloads Report | Download Stats |
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