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

Hyunwoo Kim | Zendy; Hosung Jo | Zendy; Heejin Park | Zendy; Eunok Paek | Zendy

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

Author(s) -

Hyunwoo Kim,

Hosung Jo,

Heejin Park,

Eunok Paek

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv490

Subject(s) - tandem , mass spectrometry , high resolution , tandem mass spectrometry , resolution (logic) , tandem accelerator , computer science , analytical chemistry (journal) , chemistry , chromatography , engineering , aerospace engineering , ion , remote sensing , artificial intelligence , geology , organic chemistry

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.

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