Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry

Reiter, Lukas and Claassen, Manfred and Schrimpf, Sabine P. and Jovanovic, Marko and Schmidt, Alexander and Buhmann, Joachim M. and Hengartner, Michael O. and Aebersold, Ruedi . (2009) Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry. Molecular and Cellular Proteomics, 8 (11). pp. 2405-2417.

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Official URL: http://edoc.unibas.ch/45917/

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Comprehensive characterization of a proteome is a fundamental goal in proteomics. To achieve saturation coverage of a proteome or specific subproteome via tandem mass spectrometric identification of tryptic protein sample digests, proteomics data sets are growing dramatically in size and heterogeneity. The trend toward very large integrated data sets poses so far unsolved challenges to control the uncertainty of protein identifications going beyond well established confidence measures for peptide-spectrum matches. We present MAYU, a novel strategy that reliably estimates false discovery rates for protein identifications in large scale data sets. We validated and applied MAYU using various large proteomics data sets. The data show that the size of the data set has an important and previously underestimated impact on the reliability of protein identifications. We particularly found that protein false discovery rates are significantly elevated compared with those of peptide-spectrum matches. The function provided by MAYU is critical to control the quality of proteome data repositories and thereby to enhance any study relying on these data sources. The MAYU software is available as standalone software and also integrated into the Trans-Proteomic Pipeline.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Services Biozentrum > Proteomics (Schmidt)
UniBasel Contributors:Schmidt, Alexander
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:American Society for Biochemistry and Molecular Biology
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:29 Nov 2017 08:51
Deposited On:29 Nov 2017 08:51

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