Universität zu Köln

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:	Creators Email ORCID ORCID Put Code Schmiegelt, Benjamin schmiegb@thp.uni-koeln.de UNSPECIFIED UNSPECIFIED
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:	Keywords Language fitness landscapes; epistasis; NK model English
Date of oral exam:	25 August 2016
Referee:	Name Academic Title Krug, Joachim Prof. Dr. Berg, Johannes Prof. Dr.
Funders:	Bonn-Cologne Graduate School of Physics and Astronomy
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/10398