In proteomics, GPM stands for "Global Proteome Machine". It is a web-based, open source user interface for analyzing and displaying protein identification data. It was originally designed by Rob Craig and Ron Beavis and first released in 2003.[1] The interface creates a series of web browser page views of tandem mass spectrometry data that has been assigned to protein sequences. The underlying data documents are stored in BIOML[2] format files.

Since its original creation, GPM has been under continuous development. Major developments include the following:

  1. Creation of GPMDB: a large proteomics database generated using GPM;[3]
  2. Inclusion in the Human proteome project as a data analysis and information resource;[4]
  3. Development of a REST API for GPMDB.[5]

References

  1. ↑ Craig, Robertson; Cortens, John P.; Beavis, Ronald C. (2004). "Open Source System for Analyzing, Validating, and Storing Protein Identification Data". Journal of Proteome Research. 3 (6): 1234–42. doi:10.1021/pr049882h. PMID 15595733.
  2. ↑ Fenyo, D (1999). "The Biopolymer Markup Language". Bioinformatics. 15 (4): 339–40. doi:10.1093/bioinformatics/15.4.339. PMID 10320402.
  3. ↑ Craig, Robertson; Cortens, John P.; Beavis, Ronald C. (2004). "Open Source System for Analyzing, Validating, and Storing Protein Identification Data". Journal of Proteome Research. 3 (6): 1234–1242. doi:10.1021/pr049882h. ISSN 1535-3893. PMID 15595733.
  4. ↑ Omenn, Gilbert S.; Lane, Lydie; Lundberg, Emma K.; Beavis, Ronald C.; Nesvizhskii, Alexey I.; Deutsch, Eric W. (2015). "Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification". Journal of Proteome Research. 14 (9): 3452–3460. doi:10.1021/acs.jproteome.5b00499. ISSN 1535-3893. PMC 4755311. PMID 26155816.
  5. ↑ Fenyö, David; Beavis, Ronald C. (2015). "The GPMDB REST interface". Bioinformatics. 31 (12): 2056–2058. doi:10.1093/bioinformatics/btv107. ISSN 1367-4803. PMID 25697819.
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