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 language | English |
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Pages (from-to) | 4054-4059 |
Number of pages | 6 |
Journal | Bioinformatics |
Volume | 21 |
Issue number | 21 |
DOIs | |
Publication status | Published - Nov 2005 |
Externally published | Yes |