pgca

DOI: 10.18129/B9.bioc.pgca    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see pgca.

PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data

Bioconductor version: 3.11

Protein Group Code Algorithm (PGCA) is a computationally inexpensive algorithm to merge protein summaries from multiple experimental quantitative proteomics data. The algorithm connects two or more groups with overlapping accession numbers. In some cases, pairwise groups are mutually exclusive but they may still be connected by another group (or set of groups) with overlapping accession numbers. Thus, groups created by PGCA from multiple experimental runs (i.e., global groups) are called "connected" groups. These identified global protein groups enable the analysis of quantitative data available for protein groups instead of unique protein identifiers.

Author: Gabriela Cohen-Freue <gcohen at stat.ubc.ca>

Maintainer: Gabriela Cohen-Freue <gcohen at stat.ubc.ca>

Citation (from within R, enter citation("pgca")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("pgca")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pgca")

 

HTML R Script Introduction
PDF   Reference Manual

Details

biocViews AssayDomain, ImmunoOncology, MassSpectrometry, Proteomics, Software, WorkflowStep
Version 1.12.0
In Bioconductor since BioC 3.5 (R-3.4) (3.5 years)
License GPL (>= 2)
Depends
Imports utils, stats
LinkingTo
Suggests knitr, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package pgca_1.12.0.tar.gz
Windows Binary pgca_1.12.0.zip
macOS 10.13 (High Sierra) pgca_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/pgca
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/pgca
Package Short Url https://bioconductor.org/packages/pgca/
Package Downloads Report Download Stats

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