DocumentCode
2890652
Title
Improved Quantification of Labeled LC-MS
Author
Long Chen ; Petritis, K. ; Tegeler, T. ; Petritis, B. ; Haskins, W.E. ; Jianqiu Zhang
Author_Institution
Dept. of ECE, Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
299
Lastpage
303
Abstract
A novel quantification method is proposed for labeled LC-MS data. Unlike the traditional extracted ion chromatogram based quantification methods, the new method considers the reliability or the quality of signals with different intensities and applies more weights to the more reliable signals in the relative quantification procedure. Testing shows that the new method has improved accuracy than current quantification software.
Keywords
bioinformatics; chromatography; mass spectrometers; ion chromatogram; labeled LC-MS data; liquid chromatography; mass spectrometer; quantification method; Accuracy; Estimation; Labeling; Linear regression; Peptides; Proteins; Reliability; LC-MS; O16/O18; Quantifiication; SILAC;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1799-4
Type
conf
DOI
10.1109/BIBM.2011.75
Filename
6120456
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