pgca
This is the development version of pgca; for the stable release version, see pgca.
All Bioconductor versions of pgca
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5
PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data
Bioconductor version: 3.24 · Package version: 1.37.0
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"):
Gabriela Cohen-Freue. pgca: PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data. doi:10.18129/B9.bioc.pgca, R package version 1.37.0, https://bioconductor.org/packages/pgca.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("pgca")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.37.0 |
| License | GPL (>= 2) |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.5 (R-3.4) (9 years) |
| Downloads rank | 2171 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | AssayDomain, ImmunoOncology, MassSpectrometry, Proteomics, Software, WorkflowStep |
| Package Short Url | https://bioconductor.org/packages/pgca/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pgca")| Introduction to the PGCA Package | HTML | R Script |
| Reference Manual |
Download
Follow the installation instructions to use this package in your R session.
| Source package | pgca_1.37.0.tar.gz |
| Windows binary (x86_64) | pgca_1.37.0.zip |
| macOS binary (arm64) | pgca_1.37.0.tgz |
| macOS binary (x86_64) | pgca_1.37.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/pgca |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pgca |
| Package Downloads Report | Download Stats |