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This is the development version of pgca; for the stable release version, see pgca.

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

Bioconductor version: Development (3.20)

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>

Maintainer: Gabriela Cohen-Freue <gcohen at>

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biocViews AssayDomain, ImmunoOncology, MassSpectrometry, Proteomics, Software, WorkflowStep
Version 1.29.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL (>= 2)
Imports utils, stats
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