期刊
JOURNAL OF PROTEOME RESEARCH
卷 7, 期 1, 页码 113-122出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr070361e
关键词
clustering; MS/MS; database search; spectral archives; spectral libraries
资金
- NATIONAL CENTER FOR RESEARCH RESOURCES [R01RR016522] Funding Source: NIH RePORTER
- NCRR NIH HHS [R01 RR016522-03, 1-R01-RR16522, R01 RR016522] Funding Source: Medline
Tandem mass spectrometry (MS/MS) experiments often generate redundant data sets containing multiple spectra of the same peptides. Clustering of MS/MS spectra takes advantage of this redundancy by identifying multiple spectra of the same peptide and replacing them with a single representative spectrum. Analyzing only representative spectra results in significant speed-up of MS/MS database searches. We present an efficient clustering approach for analyzing large MS/MS data sets (over 10 million spectra) with a capability to reduce the number of spectra submitted to further analysis by an order of magnitude. The MS/MS database search of clustered spectra results in fewer spurious hits to the database and increases number of peptide identifications as compared to regular nonclustered searches. Our open source software MS-Clustering is available for download at http://peptide.ucsd.edu or can be run online at http://proteomics.bioprojects.org/MassSpec.
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