Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박희진 | - |
dc.date.accessioned | 2017-10-11T04:42:10Z | - |
dc.date.available | 2017-10-11T04:42:10Z | - |
dc.date.issued | 2015-12 | - |
dc.identifier.citation | BIOINFORMATICS, v. 31, NO 24, Page. 4026-4028 | en_US |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.issn | 1460-2059 | - |
dc.identifier.uri | https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btv490 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/29562 | - |
dc.description.abstract | Peptide identification is an important problem in proteomics. One of the most popular scoring schemes for peptide identification is X-Corr (cross-correlation). Since calculating X-Corr is computationally intensive, a lot of efforts have been made to develop fast X-Corr engines. However, the existing X-Corr 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 X-Corr engine for high-resolution tandem mass spectrometry by developing a novel algorithm for calculating X-Corr. The algorithm enables X-Corr 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 X-Corr engine will expedite peptide identification by high-resolution tandem mass spectrometry. | en_US |
dc.description.sponsorship | This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012-0006999) and also by the National Research Foundation of Korea [NRF-2012M3A9B9036676, NRF-2014R1A2A1A11054147, NRF-2012M3A9D1054452]. | en_US |
dc.language.iso | en | en_US |
dc.publisher | OXFORD UNIV PRESS | en_US |
dc.subject | DATABASE | en_US |
dc.title | HiXCorr: a portable high-speed X-Corr engine for high-resolution tandem mass spectrometry | en_US |
dc.type | Article | en_US |
dc.relation.no | 24 | - |
dc.relation.volume | 31 | - |
dc.identifier.doi | 10.1093/bioinformatics/btv490 | - |
dc.relation.page | 4026-4028 | - |
dc.relation.journal | BIOINFORMATICS | - |
dc.contributor.googleauthor | Kim, Hyunwoo | - |
dc.contributor.googleauthor | Jo, Hosung | - |
dc.contributor.googleauthor | Park, Heejin | - |
dc.contributor.googleauthor | Paek, Eunok | - |
dc.relation.code | 2015001233 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | hjpark | - |
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