Pathway representation using finite state automata and comparison using the NCI thesaurus

dc.contributor.authorLeung, Samuel
dc.contributor.supervisorKapron, Bruce
dc.date.accessioned2010-02-16T17:16:17Z
dc.date.available2010-02-16T17:16:17Z
dc.date.copyright2006en
dc.date.issued2010-02-16T17:16:17Z
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science M.Sc.en
dc.description.abstractCan one classify biochemical pathways based on their topology? What is the topology of a biochemical pathway? What are the fundamental principles underlying different biochemical pathways involved in similar functional areas? Will one be able to characterize pathway "motifs" similar to motifs in proteins - i.e. reoccurring patterns in pathways? This thesis describes an attempt to develop a quantitative framework for the general representation and comparison of biochemical pathways. This quantitative framework involves a mathematical model to represent biochemical pathways and a set of similarity criteria to compare these biochemical pathways. We anticipate that such a tool would allow biologists to answer important questions such as the ones mentioned above.en
dc.identifier.urihttp://hdl.handle.net/1828/2200
dc.languageEnglisheng
dc.language.isoenen
dc.rightsAvailable to the World Wide Weben
dc.subjectbiochemistryen
dc.subjectbioinformaticsen
dc.subjectmathematical modelsen
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Chemistry::Biochemistryen
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Applied Sciences::Computer scienceen
dc.titlePathway representation using finite state automata and comparison using the NCI thesaurusen
dc.typeThesisen

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