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J Proteome Res. 2008 Jan;7(1):293-9. Epub 2007 Sep 29.

X!!Tandem, an improved method for running X!tandem in parallel on collections of commodity computers.

Author information

1
Yale University, Department of Computer Science, P.O. Box 208285, New Haven, Connecticut 06520-8285, USA. robert.bjornson@yale.edu

Abstract

The widespread use of mass spectrometry for protein identification has created a demand for computationally efficient methods of matching mass spectrometry data to protein databases. A search using X!Tandem, a popular and representative program, can require hours or days to complete, particularly when missed cleavages and post-translational modifications are considered. Existing techniques for accelerating X!Tandem by employing parallelism are unsatisfactory for a variety of reasons. The paper describes a parallelization of X!Tandem, called X!!Tandem, that shows excellent speedups on commodity hardware and produces the same results as the original program. Furthermore, the parallelization technique used is unusual and potentially useful for parallelizing other complex programs.

PMID:
17902638
PMCID:
PMC3863625
DOI:
10.1021/pr0701198
[Indexed for MEDLINE]
Free PMC Article

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