MSClustering
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Contact: Ari Frank
Summary
Tandem mass spectrometry (MS/MS) experiments often generate redundant datasets 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. The new version of MSCluster also supports the creation of spectral archives. For more details see downloadable zip file.
Spectral Archives
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Publications
Clustering Millions of Tandem Mass Spectra.
Ari M. Frank, Nuno Bandeira, Zhouxin Shen, Stephen Tanner, Steven P. Briggs, Richard D. Smith and Pavel A. Pevzner.
To appear in J. of Proteome Research, 2007.
Latest Releases
ProteoSAFe
GenoMS
Inspect, MS-Alignment
Meta-SPS
MixDB
MS-Clustering
MS-Dictionary
MS-GappedDictionary
MS-GeneratingFunction
MS-GFDB
MS-GF+
M-SPLIT
PepNovo
Spectral Networks
UniNovo
Media Coverage
Nonribosomal Peptide Dereplication and Sequencing (Scientific American, Genetic Engineering News, Natural Products Industry Insider and Genome Web Daily News)
A powerful tool for PTM discovery (Jan 2008, Journal of Proteome research, Vol 7. Issue 1)
From spectral networks to shotgun sequencing (June 2007, Nature Methods, Vol. 4 No. 6)
Identifying peptides without a database (May 2007, Journal of Proteome Research)
UCSD Computer Scientist Wins Young Investigator Award, Research on Snake Venom Proteins Highlighted (Nov 2006, UCSD)