Browsing Mathematics (Faculty of) by Supervisor "Ma, Bin"
Now showing items 1-6 of 6
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Discovery of New Features for Peptide Sequencing with Mass Spectrometry
(University of Waterloo, 2017-09-21)Bioinformaticians have been working on peptide sequencing with tandem mass spectrometry (MS/MS) for decades. However, the results are still not perfect. A lot of research have been carried on two peptide sequencing methods, ... -
A Machine-Learning-Based Algorithm for Peptide Feature Detection from Protein Mass Spectrometry Data
(University of Waterloo, 2021-05-13)Liquid chromatography with tandem mass spectrometry (LC-MS/MS) has been widely used in proteomics. Two types of data, MS and MS/MS data, are produced in an LC- MS/MS experiment. The MS data contains signal peaks corresponding ... -
Mass Spectrometry Based De Novo Peptide Sequencing Error Correction
(University of Waterloo, 2017-09-26)Extensive study has been conducted on the identification of peptide sequences with mass spectrometry. With the development of computer hardware and algorithms, de novo sequencing has drawn attention from researchers for ... -
Protein De novo Sequencing
(University of Waterloo, 2016-05-13)In the proteomic mass spectrometry field, peptide and protein identification can be classified into two categories: database search that relies on existing peptide and protein databases and de novo sequencing with no prior ... -
Tagger: Enhance Database Search Tools with De Novo Sequencing Tags
(University of Waterloo, 2017-01-06)Tandem mass spectrometry (MS/MS) is widely used in proteomics nowadays to identify peptides and proteins from a sequence database. In a classic procedure of MS/MS protein identification, proteins are digested into short ... -
A TMT-labeled Spectral Library for Peptide Sequencing
(University of Waterloo, 2017-12-07)Tandem mass spectrometry (MS/MS) is widely used nowadays for bioinformaticians to identify peptides and proteins. Three major peptide identification approaches and tools have been developed over the past two decades: ...