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
Event tags 

S M T W T F S
28
29
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
  1. 2021 (207)
    1. December (18)
    2. November (13)
    3. October (12)
    4. September (21)
    5. August (20)
    6. July (17)
    7. June (11)
    8. May (16)
    9. April (27)
    10. March (20)
    11. February (13)
    12. January (19)
  2. 2020 (217)
    1. December (18)
    2. November (12)
    3. October (7)
    4. September (21)
    5. August (28)
    6. July (14)
    7. June (18)
    8. May (16)
    9. April (20)
    10. March (16)
    11. February (25)
    12. January (22)
  3. 2019 (255)
  4. 2018 (217)
  5. 2017 (36)
  6. 2016 (21)
  7. 2015 (36)
  8. 2014 (33)
  9. 2013 (23)
  10. 2012 (4)
  11. 2011 (1)
  12. 2010 (1)
  13. 2009 (1)
  14. 2008 (1)