dc.contributor.author | Zeng, Xiangyuan | |
dc.date.accessioned | 2021-05-13 18:27:57 (GMT) | |
dc.date.available | 2021-05-13 18:27:57 (GMT) | |
dc.date.issued | 2021-05-13 | |
dc.date.submitted | 2021-05-07 | |
dc.identifier.uri | http://hdl.handle.net/10012/16980 | |
dc.description.abstract | 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 to the intact pep- tides in the samples being analyzed. However, research on protein mass spectrometry data has focused more on extracting information from MS/MS data than on MS data. To effectively utilize MS information, we propose a novel software tool, MSTracer, to detect peptide features from MS data. Two machine-learning-combined scoring functions were incorporated in the implementation: one for detecting the peptide features and another for assigning a quality score to each detected peptide feature. The software was compared with several other tools and demonstrated significantly better performance. | en |
dc.language.iso | en | en |
dc.publisher | University of Waterloo | en |
dc.relation.uri | http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD012238 | en |
dc.relation.uri | http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD006631 | en |
dc.relation.uri | http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD022287 | en |
dc.subject | bioinformatics | en |
dc.subject | mass spectrometry | en |
dc.subject | peptide feature detection | en |
dc.title | A Machine-Learning-Based Algorithm for Peptide Feature Detection from Protein Mass Spectrometry Data | en |
dc.type | Master Thesis | en |
dc.pending | false | |
uws-etd.degree.department | David R. Cheriton School of Computer Science | en |
uws-etd.degree.discipline | Computer Science | en |
uws-etd.degree.grantor | University of Waterloo | en |
uws-etd.degree | Master of Mathematics | en |
uws-etd.embargo.terms | 0 | en |
uws.contributor.advisor | Ma, Bin | |
uws.contributor.affiliation1 | Faculty of Mathematics | en |
uws.published.city | Waterloo | en |
uws.published.country | Canada | en |
uws.published.province | Ontario | en |
uws.typeOfResource | Text | en |
uws.peerReviewStatus | Unreviewed | en |
uws.scholarLevel | Graduate | en |