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

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

Research output: Contribution to journalArticle

62 Citations (Scopus)

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
Pages (from-to)4054-4059
Number of pages6
JournalBioinformatics
Volume21
Issue number21
DOIs
Publication statusPublished - 1 Nov 2005
Externally publishedYes

Fingerprint

Data Preprocessing
Proteomics
Liquid chromatography
Mass Spectrometry
Chromatography
Liquid Chromatography
Mass spectrometry
Alignment
Liquid
Data Mining
Processing
Information Systems
Quality Assurance
Statistical tests
Data Quality
Deconvolution
Statistical test
Quality assurance
Peptides
Quantification

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Data pre-processing in liquid chromatography-mass spectrometry-based proteomics. / Zhang, Xiang; Asara, John M.; Adamec, Jiri; Ouzzani, Mourad; Elmagarmid, Ahmed.

In: Bioinformatics, Vol. 21, No. 21, 01.11.2005, p. 4054-4059.

Research output: Contribution to journalArticle

Zhang, Xiang ; Asara, John M. ; Adamec, Jiri ; Ouzzani, Mourad ; Elmagarmid, Ahmed. / Data pre-processing in liquid chromatography-mass spectrometry-based proteomics. In: Bioinformatics. 2005 ; Vol. 21, No. 21. pp. 4054-4059.
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