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- W2110962012 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. 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. Availability:Xalign software is available upon request from the author. Contact:zhang100@purdue.edu" @default.
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- W2110962012 date "2005-09-08" @default.
- W2110962012 modified "2023-09-25" @default.
- W2110962012 title "Data pre-processing in liquid chromatography-mass spectrometry-based proteomics" @default.
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- W2110962012 doi "https://doi.org/10.1093/bioinformatics/bti660" @default.
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