To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Pbase")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.0
A set of classes and functions to investigate and understand protein sequence data in the context of a proteomics experiment.
Author: Laurent Gatto [aut], Sebastian Gibb [aut, cre]
Maintainer: Sebastian Gibb <mail at sebastiangibb.de>, Laurent Gatto <lg390 at cam.ac.uk>
Citation (from within R,
enter citation("Pbase")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Pbase")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Pbase")
HTML | R Script | mapping |
HTML | R Script | Pbase-data |
Reference Manual | ||
Text | NEWS |
biocViews | DataImport, DataRepresentation, Infrastructure, MassSpectrometry, Proteomics, Software, Visualization |
Version | 0.4.0 |
In Bioconductor since | BioC 3.1 (R-3.2) |
License | GPL-3 |
Depends | R (>= 2.10), methods, BiocGenerics, Rcpp, Gviz |
Imports | cleaver(>= 1.3.6), Biobase, Biostrings, IRanges, S4Vectors, mzID, mzR(>= 1.99.1), MSnbase(>= 1.13.5), Pviz |
LinkingTo | |
Suggests | testthat (>= 0.8), ggplot2, BSgenome.Hsapiens.UCSC.hg19, biomaRt, TxDb.Hsapiens.UCSC.hg19.knownGene, knitr, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://github.com/ComputationalProteomicsUnit/Pbase |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | Pbase_0.4.0.tar.gz |
Windows Binary | Pbase_0.4.0.zip |
Mac OS X 10.6 (Snow Leopard) | Pbase_0.4.0.tgz |
Mac OS X 10.9 (Mavericks) | Pbase_0.4.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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