Features-Based Deisotoping Method for Tandem Mass Spectra
Joint Authors
Yuan, Zheng
Lin, Wenjun
Wu, Fang-Xiang
Chen, Bolin
Shi, Jinhong
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
For high-resolution tandem mass spectra, the determination of monoisotopic masses of fragment ions plays a key role in the subsequent peptide and protein identification.
In this paper, we present a new algorithm for deisotoping the bottom-up spectra.
Isotopic-cluster graphs are constructed to describe the relationship between all possible isotopic clusters.
Based on the relationship in isotopic-cluster graphs, each possible isotopic cluster is assessed with a score function, which is built by combining nonintensity and intensity features of fragment ions.
The non-intensity features are used to prevent fragment ions with low intensity from being removed.
Dynamic programming is adopted to find the highest score path with the most reliable isotopic clusters.
The experimental results have shown that the average Mascot scores and F-scores of identified peptides from spectra processed by our deisotoping method are greater than those by YADA and MS-Deconv software.
American Psychological Association (APA)
Yuan, Zheng& Shi, Jinhong& Lin, Wenjun& Chen, Bolin& Wu, Fang-Xiang. 2012. Features-Based Deisotoping Method for Tandem Mass Spectra. Advances in Bioinformatics،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-454876
Modern Language Association (MLA)
Yuan, Zheng…[et al.]. Features-Based Deisotoping Method for Tandem Mass Spectra. Advances in Bioinformatics No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-454876
American Medical Association (AMA)
Yuan, Zheng& Shi, Jinhong& Lin, Wenjun& Chen, Bolin& Wu, Fang-Xiang. Features-Based Deisotoping Method for Tandem Mass Spectra. Advances in Bioinformatics. 2012. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-454876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454876