Journal
BIOINFORMATICS
Volume 21, Issue 21, Pages 4054-4059Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bti660
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- PHS HHS [NIH 0GI93] Funding Source: Medline
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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. A two-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.
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