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Clustering millions of tandem mass spectra.


ABSTRACT: 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.

SUBMITTER: Frank AM 

PROVIDER: S-EPMC2533155 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature

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Clustering millions of tandem mass spectra.

Frank Ari M AM   Bandeira Nuno N   Shen Zhouxin Z   Tanner Stephen S   Briggs Steven P SP   Smith Richard D RD   Pevzner Pavel A PA  

Journal of proteome research 20071208 1


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 sp  ...[more]

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