Gpm (proteomics) explained
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:
- Creation of GPMDB: a large proteomics database generated using GPM;[3]
- Inclusion in the Human proteome project as a data analysis and information resource;[4]
- Development of a REST API for GPMDB.[5]
External links
Notes and References
- 1234–42 . 10.1021/pr049882h . Open Source System for Analyzing, Validating, and Storing Protein Identification Data . 2004 . Craig . Robertson . Cortens . John P. . Beavis . Ronald C. . Journal of Proteome Research . 3 . 6 . 15595733.
- 339–40 . 10.1093/bioinformatics/15.4.339 . The Biopolymer Markup Language . 1999 . Fenyo . D . Bioinformatics . 15 . 4 . 10320402. free .
- Craig. Robertson. Cortens. John P.. Beavis. Ronald C.. Open Source System for Analyzing, Validating, and Storing Protein Identification Data. Journal of Proteome Research. 3. 6. 2004. 1234–1242. 1535-3893. 10.1021/pr049882h. 15595733.
- Omenn. Gilbert S.. Lane. Lydie. Lundberg. Emma K.. Beavis. Ronald C.. Nesvizhskii. Alexey I.. Deutsch. Eric W.. 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. 2015. 3452–3460. 1535-3893. 10.1021/acs.jproteome.5b00499. 26155816. 4755311.
- Fenyö. David. Beavis. Ronald C.. The GPMDB REST interface. Bioinformatics. 31. 12. 2015. 2056–2058. 1367-4803. 10.1093/bioinformatics/btv107. 25697819. free.