Data pre-processing in liquid chromatography-mass spectrometry-based proteomics

Xiang Zhang, John M. Asara, Jiri Adamec, Mourad Ouzzani, Ahmed K. Elmagarmid

Research output: Contribution to journalArticlepeer-review

64 Scopus citations

Abstract

Motivation: In a liquid chromatography-mass spectrometry (LC-MS)-based expressional proteomics, multiple samples from different groups are analyzed in parallel. It is necessary to develop a data mining system to perform peak quantification, peak alignment and data quality assurance. Results: We have developed an algorithm for spectrum deconvolution. At wo-step alignment algorithm is proposed for recognizing peaks generated by the same peptide but detected in different samples. The quality of LC-MS data is evaluated using statistical tests and alignment quality tests.

Original languageEnglish (US)
Pages (from-to)4054-4059
Number of pages6
JournalBioinformatics
Volume21
Issue number21
DOIs
StatePublished - Nov 2005

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Data pre-processing in liquid chromatography-mass spectrometry-based proteomics'. Together they form a unique fingerprint.

Cite this