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공공누리This item is licensed Korea Open Government License

Title
Accelerating a cross-correlation score function to search modifications using a single GPU
Author(s)
김현우박경석엄정호한성근
Publication Year
2018-12-12
Abstract
Background: A cross-correlation (XCorr) score function is one of the most popular score functions utilized to search peptide identifications in databases, and many computer programs, such as SEQUEST, Comet, and Tide, currently use this score function. Recently, the HiXCorr algorithm was developed to speed up this score function for high-resolution spectra by improving the preprocessing step of the tandem mass spectra. However, despite the development of the HiXCorr algorithm, the score function is still slow because candidate peptides increase when post-translational modifications (PTMs) are considered in the search.
Results: We used a graphics processing unit (GPU) to develop the accelerating score function derived by combining Tide’s XCorr score function and the HiXCorr algorithm. Our method is 2.7 and 5.8 times faster than the original Tide and Tide-Hi, respectively, for 50 Da precursor tolerance. Our GPU-based method produced identical scores as did the CPU-based Tide and Tide-Hi.
Conclusion: We propose the accelerating score function to search modifications using a single GPU. The software is available at https://github.com/Tide-for-PTM-search/Tide-for-PTM-search.
Keyword
Peptide identification; Tide; Cross-correlation score function; High performance computing; PTM search
Journal Title
BMC Bioinformatics
Citation Volume
19
ISSN
1471-2105
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14785
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART95218988
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