title: HiXCorr: a portable high-speed XCorr engine for high-resolution tandem mass spectrometry.
abstract: 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.
  
  
  METHODS
  Available at http://isa.hanyang.ac.kr/HiXCorr/HiXCorr.html.
authors: Department of Electronics and Computer Engineering and.
authors: Hyunwoo
authors: H
authors: Kim
authors: Department of Electronics and Computer Engineering and.
authors: Hosung
authors: H
authors: Jo
authors: Department of Computer Science and Engineering, Hanyang University, Seoul, Korea.
authors: Heejin
authors: H
authors: Park
authors: Department of Computer Science and Engineering, Hanyang University, Seoul, Korea.
authors: Eunok
authors: E
authors: Paek
mesh_terms: D000465:Algorithms; D010455:Peptides / Q000737:chemistry*; D040901:Proteomics / Q000379:methods; D012984:Software; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D010455:Peptides