Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/10572/824
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dc.contributor.advisorJain, Kavita-
dc.contributor.authorDas, Gayatri-
dc.date.accessioned2012-09-12T09:11:37Z-
dc.date.available2012-09-12T09:11:37Z-
dc.date.issued2010-
dc.identifier.citationDas, Gayatri. 2010, Dynamical properties of quasispecies model on correlated fitness landscapes, MS Engg thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluruen_US
dc.identifier.urihttps://libjncir.jncasr.ac.in/xmlui/handle/10572/824-
dc.description.abstractIn a broad sense, evolution happens in galaxies, languages, political systems and in many other systems. The biological evolution refers to the populations and not to individuals and the changes must be passed on to the next generation. We study the evolution of asexual organisms like bacteria and virus. An experiment [1] that studied the evolution of starving E. coli has shown that the fitness (for example, cell volume) of the population increases in steps as shown in Fig. 1. We are interested in the modeling of a system that exhibits such evolutionary dynamics. Our study is at sequence level where the sequence could be a combination of amino acids as in the case of protein molecules, nucleotide bases of RNA molecules etc. For simplicity, we take the sequence σ = {σ1, σ2, ..., σL} as the string of binary digits 0 and 1 where L is the length of the sequence. Each sequence is assigned a fitness value Fσ which defines the number of offspring produced by sequence σ. The fitness can also represent the replication (copying itself) rate of genome or the binding rate of enzyme. We consider the situation in which initially a low fitness sequence is most populated (leader).-
dc.language.isoEnglishen_US
dc.publisherJawaharlal Nehru Centre for Advanced Scientific Researchen_US
dc.rights© 2010 JNCASRen_US
dc.subjectDynamicsen_US
dc.subjectQuasispeciesen_US
dc.subjectCorrelated fitness landscapesen_US
dc.titleDynamical properties of quasispecies model on correlated fitness landscapesen_US
dc.typeThesisen_US
dc.type.qualificationlevelMasteren_US
dc.type.qualificationnameMS Enggen_US
dc.publisher.departmentTheoretical Sciences Unit (TSU)en_US
Appears in Collections:Student Theses (TSU)

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