A novel comprehensive wave-form MS data processing method

Shuo Chen; Ming Li; Don Hong; Dean Billheimer; Huiming Li; Baogang J. Xu; Yu Shyr

doi:10.1093/bioinformatics/btp060

A novel comprehensive wave-form MS data processing method

Shuo Chen, Ming Li, Don Hong, Dean Billheimer, Huiming Li, Baogang J. Xu, Yu Shyr

Department of Statistics

Research output: Contribution to journal › Article

14 Citations (Scopus)

Abstract

Motivation: 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. Results: In this article, we propose a new comprehensive MS data preprocessing package, Wave-spec, which includes several novel algorithms. It can overcome several conventional difficulties. Wave-spec can be applied to multiple types of MS data generated with different MS technologies. Results from this new package were evaluated and compared to several existing approaches based on a MALDI-TOF MS dataset.

Original language	English
Pages (from-to)	808-814
Number of pages	7
Journal	Bioinformatics
Volume	25
Issue number	6
DOIs	https://doi.org/10.1093/bioinformatics/btp060
Publication status	Published - 2009 Mar 1

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btp060

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Chen, S., Li, M., Hong, D., Billheimer, D., Li, H., Xu, B. J., & Shyr, Y. (2009). A novel comprehensive wave-form MS data processing method. Bioinformatics, 25(6), 808-814. https://doi.org/10.1093/bioinformatics/btp060

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