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Comparative Proteomics in the Absence of Tandem Mass Spectra

dc.contributor.authorWielens, Bjorn
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentDepartment of Chemistryen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorMark Stradiottoen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerAlan Doucetteen_US
dc.contributor.thesis-readerChristian Blouinen_US
dc.contributor.thesis-readerLouis Ramaleyen_US
dc.contributor.thesis-supervisorPeter Wentzellen_US
dc.date.accessioned2013-12-20T15:44:21Z
dc.date.available2013-12-20T15:44:21Z
dc.date.defence2013-12-09
dc.date.issued2013-12-20
dc.description.abstractMass spectrometry plays a significant role in many proteomics experiments owing to its ability to provide high quality, detailed data on complex samples containing proteins and/or their constituent peptides. As with any technology, the capabilities of mass spectrometers are constantly increasing to provide better resolution, faster data acquisition, and more accurate mass measurements. However, the existence and widespread use of previous-generation instruments is not negligible. While these instruments may not have the capabilities of their modern counterparts they are still able to collect useful experimental data, though their limitations can result in trade-offs between certain parameters such as resolution, sample run-time, and tandem MS experiments. This work describes an alternative method of MS data analysis, dubbed Parallel Isotopic Tag Screening (PITS), which seeks to enable higher throughput and the collection of better quality data on such previous generation instruments.en_US
dc.identifier.urihttp://hdl.handle.net/10222/42720
dc.language.isoen_USen_US
dc.subjectproteomicsen_US
dc.subjectmass spectrometryen_US
dc.subjectfeature detectionen_US
dc.subjectquantitationen_US
dc.titleComparative Proteomics in the Absence of Tandem Mass Spectraen_US

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