A Combinatorial Approach to Protein Mixture - Identification based on Mass Spectrometry Data

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dc.contributor.authorNosratinia, Mohsen
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik, Datavetenskap (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering, Computing Science (Chalmers)en
dc.date.accessioned2019-07-03T12:17:24Z
dc.date.available2019-07-03T12:17:24Z
dc.date.issued2009
dc.description.abstractProtein mixture identification by Mass Spectrometry (MS) data using massmapping experiments has become a powerful method in identification, and in some cases quantification, of proteins in samples taken from tissues. The mainstream approaches for database search method usually impose an upper bound of 2 or 3 on the number of proteins in a sample mixture. In this thesis the problem in its most general from is reformulated as a hitting set problem over (finding transversals of) a hypergraph. The limitations and extent of applicability of this approach, considering different error sources in MS data are addressed.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/111929
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectDatalogi
dc.subjectComputer science
dc.titleA Combinatorial Approach to Protein Mixture - Identification based on Mass Spectrometry Data
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
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