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

Bioconductor version: Release (3.18)

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>

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Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL (>= 2)
Imports utils, stats
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Source Package pgca_1.26.0.tar.gz
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