A novel comprehensive wave-form MS data processing method

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

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)808-814
Number of pages7
JournalBioinformatics
Volume25
Issue number6
DOIs
Publication statusPublished - 2009 Mar 1

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'A novel comprehensive wave-form MS data processing method'. Together they form a unique fingerprint.

  • Cite this

    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