Master’s Thesis Presentation • Bioinformatics — A Machine-Learning Combined Peptide Detection Method from LC-MS MapExport this event to calendar

Tuesday, May 4, 2021 9:00 AM EDT

Please note: This master’s thesis presentation will be given online.

Xiangyuan Zeng, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Liquid chromatography with tandem mass spectrometry (LC-MS/MS) has been widely used in proteomics. An LC-MS/MS experiment produces both MS and MS/MS data. The MS data contains signal peaks corresponding to the intact peptides in the samples being analyzed. However, research on MS data has focused more on extracting information from MS/MS data than on MS data. To effectively utilize MS information, we introduce a software tool, MSTracer, to detect peptide features from MS which incorporate two machine-learning-combined scoring functions: one for detecting the peptide features, and the other for assigning a quality score for each detected feature. The software was compared with a few other existing tools and demonstrated significantly improved performance.


To join this master’s thesis presentation on Zoom, please go to https://us02web.zoom.us/j/85747893419?pwd=aVFNajJiUUFOZmc5RmRFaWJBaXh3dz09.

Location 
Online presentation
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
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