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
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;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1799-4
DOI :
10.1109/BIBM.2011.75
