A novel comprehensive wave-form MS data processing method | Zendy

Shawn Chen | Zendy; Ming Li | Zendy; Don Hong | Zendy; Dean Billheimer | Zendy; LI Hui-ming | Zendy; Baogang Xu | Zendy; Yu Shyr | Zendy

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A novel comprehensive wave-form MS data processing method

Author(s) -

Shawn Chen,

Ming Li,

Don Hong,

Dean Billheimer,

LI Hui-ming,

Baogang Xu,

Yu Shyr

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp060

Subject(s) - computer science , preprocessor , scripting language , data mining , matlab , data pre processing , spec# , data processing , software , artificial intelligence , database , programming language

Mass spectrometry (MS) can generate high-throughput protein profiles for biomedical research to discover biologically related protein patterns/biomarkers. The noisy functional MS data collected by current technologies, however, require consistent, sensitive and robust data-processing techniques for successful biomedical application. Therefore, it is important to detect features precisely for each spectrum, quantify them well and assign a unique label to features from the same protein/peptide across spectra.

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