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

被引:57
|
作者
Zhang, XA [1 ]
Asara, JM
Adamec, J
Ouzzani, M
Elmagarmid, AK
机构
[1] Purdue Univ, Bindley Biosci Ctr, W Lafayette, IN 47907 USA
[2] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA
[3] Beth Israel Deaconess Med Ctr, Boston, MA 02215 USA
关键词
D O I
10.1093/bioinformatics/bti660
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:4054 / 4059
页数:6
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