| Literature DB >> 17902638 |
Robert D Bjornson1, Nicholas J Carriero, Christopher Colangelo, Mark Shifman, Kei-Hoi Cheung, Perry L Miller, Kenneth Williams.
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.Mesh:
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Year: 2007 PMID: 17902638 PMCID: PMC3863625 DOI: 10.1021/pr0701198
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466