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

1.2.4

GenoMS

2012.01.10

Inspect, MS-Alignment

2012.01.09

Meta-SPS

2013.04.30

MixDB

2011.12.06

MS-Clustering

2011.03.27

MS-Dictionary

2007.11.30

MS-GappedDictionary

2011.06.15

MS-GeneratingFunction

2010.10.14

MS-GFDB

2012.06.07

MS-GF+

2013.04.10

M-SPLIT

2011.06.05

PepNovo

2012.04.23

Spectral Networks

Sept 2007

UniNovo

2013.03.10

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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)