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

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/111929
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Type: Examensarbete för masterexamen
Master Thesis
Title: A Combinatorial Approach to Protein Mixture - Identification based on Mass Spectrometry Data
Authors: Nosratinia, Mohsen
Abstract: Protein 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.
Keywords: Datalogi;Computer science
Issue Date: 2009
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik, Datavetenskap (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering, Computing Science (Chalmers)
URI: https://hdl.handle.net/20.500.12380/111929
Collection:Examensarbeten för masterexamen // Master Theses



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