Schmiegelt, Benjamin (2016). Sign Epistatis Networks. Masters thesis, Universität zu Köln.

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Abstract

In this master thesis I consider primarily the NK model for fitness landscapes and adaptive walks on such landscapes. Specifically a notation for a low-dimensional representation of (reciprocal) sign epistasis on the space of genetic loci is introduced for these models and used to derive sign-dependent properties, in particular the so called accessibility property of the landscape.

Item Type: Thesis (Masters thesis)
Creators:
CreatorsEmailORCIDORCID Put Code
Schmiegelt, Benjaminschmiegb@thp.uni-koeln.deUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-103987
Date: 18 July 2016
Language: English
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Department of Physics > Institute for Theoretical Physics
Subjects: Natural sciences and mathematics
Physics
Uncontrolled Keywords:
KeywordsLanguage
fitness landscapes; epistasis; NK modelEnglish
Date of oral exam: 25 August 2016
Referee:
NameAcademic Title
Krug, JoachimProf. Dr.
Berg, JohannesProf. Dr.
Funders: Bonn-Cologne Graduate School of Physics and Astronomy
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/10398

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