This is the released version of pgca; for the devel version, see pgca.
PGCA: An Algorithm to Link Protein Groups Created from MS/MS DataBioconductor version: Release (3.21)
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, entercitation("pgca")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pgca")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pgca")Follow Installation instructions to use this package in your R session.
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