IDFraIP:A Novel Protein Identification Algorithm Based on Fragment Intensity Patterns
- 10.2991/meita-15.2015.110How to use a DOI?
- Protein Identification Algorithm; Intensity Patterns; MS/MS; Database Search
A Identifying peptides for their fragmentation spectra by database search sequencing method is crucial to interpret LC-MS/MS data, widely used algorithms had not been fully exploited the intensity patterns in fragment spectra, SQID incorporated intensity information and identified peptides significantly more peptides than Sequest and X!Tandem. Although SQID adopted various datasets which based on different platforms to show its robustness and effectiveness, many other characterizes were not considered. This article utilized intensity pattern modeling which had been reported by SQID, proposed a novel scoring model to identify fragment spectra. Compared with SQID and Sequest at 1% False Discovery Rate (FDR), IDFraIP identified more confident peptides and spectra.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Simin Zhu AU - Huamei Li AU - Kai Zheng AU - Xiaozhou Chen PY - 2015/08 DA - 2015/08 TI - IDFraIP:A Novel Protein Identification Algorithm Based on Fragment Intensity Patterns BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 601 EP - 604 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.110 DO - 10.2991/meita-15.2015.110 ID - Zhu2015/08 ER -