# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "pgca" in publications use:' type: software license: GPL-2.0-or-later title: 'pgca: PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data' version: 1.29.0 identifiers: - type: doi value: 10.32614/CRAN.package.pgca abstract: 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. authors: - family-names: Cohen-Freue given-names: Gabriela email: gcohen@stat.ubc.ca preferred-citation: type: article title: 'PGCA: An Algorithm to Link Protein Groups Created from MS/MS Data' authors: - family-names: Takhar given-names: Mandeep - family-names: Sasaki given-names: Mayu - family-names: Hollander given-names: Zsuzsanna - family-names: Kepplinger given-names: David - family-names: Smith given-names: Derek - family-names: McManus given-names: Bruce - family-names: McMaster given-names: W. Robert - family-names: Ng given-names: Raymond T. - family-names: Cohen Freue given-names: Gabriela V. journal: PLOS ONE year: Under revision notes: R package version 1.29.0 repository: https://bioc.r-universe.dev commit: 6ce7c15e4e028d2b757e5a4d8caefbd085179544 contact: - family-names: Cohen-Freue given-names: Gabriela email: gcohen@stat.ubc.ca