Literature DB >> 26315908

HiXCorr: a portable high-speed XCorr engine for high-resolution tandem mass spectrometry.

Hyunwoo Kim1, Hosung Jo1, Heejin Park2, Eunok Paek2.   

Abstract

UNLABELLED: Peptide identification is an important problem in proteomics. One of the most popular scoring schemes for peptide identification is XCorr (cross-correlation). Since calculating XCorr is computationally intensive, a lot of efforts have been made to develop fast XCorr engines. However, the existing XCorr engines are not suitable for high-resolution MS/MS spectrometry because they are either slow or require a specific type of CPU. We present a portable high-speed XCorr engine for high-resolution tandem mass spectrometry by developing a novel algorithm for calculating XCorr. The algorithm enables XCorr calculation 1.25-49 times faster than previous algorithms for 0.01 Da fragment tolerance. Furthermore, our engine is easily portable to any machine with different types of CPU because it is developed in C language. Hence, our XCorr engine will expedite peptide identification by high-resolution tandem mass spectrometry.
AVAILABILITY AND IMPLEMENTATION: Available at http://isa.hanyang.ac.kr/HiXCorr/HiXCorr.html.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26315908     DOI: 10.1093/bioinformatics/btv490

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  1 in total

1.  An Out-of-Core GPU based dimensionality reduction algorithm for Big Mass Spectrometry Data and its application in bottom-up Proteomics.

Authors:  Muaaz Gul Awan; Fahad Saeed
Journal:  ACM BCB       Date:  2017-08
  1 in total

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