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Natural selection inference and sampling formulae
Descriptive
TitleInfo
Title
Natural selection inference and sampling formulae
Name
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NamePart
(type = family)
Khromov
NamePart
(type = given)
Pavel
NamePart
(type = date)
1986-
DisplayForm
Pavel Khromov
Role
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author
Name
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NamePart
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Morozov
NamePart
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Alexandre V
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Alexandre V Morozov
Affiliation
Advisory Committee
Role
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chair
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Sengupta
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Anirvan
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Anirvan Sengupta
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Advisory Committee
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internal member
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Chandra
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Premala
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Premala Chandra
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Advisory Committee
Role
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internal member
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Diaconescu
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Duiliu E
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Duiliu E Diaconescu
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Advisory Committee
Role
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internal member
Name
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Ellison
NamePart
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Christopher
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Christopher Ellison
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Advisory Committee
Role
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outside member
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Rutgers University
Role
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(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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school
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Text
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theses
OriginInfo
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2020
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2020-05
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2020
Language
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English
Abstract
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Theory of evolution provides a simple, flexible, and elegant framework to study and explain life around us. Population genetics is a mathematical wing of evolutionary theory. One of its key results connects steady state distribution of observable traits in a population with evolutionary parameters like mutation rate and fitness landscape in which the population is evolving. If number of trait types is very large, which is a relevant limit for molecular biology, then Ewens sampling formula provides a description of the steady state for the case with no natural selection acting on the population. We provide a generalization of this formula to arbitrary fitness landscape and use it to infer distribution of mutation rate and selection pressure along fruit fly chromosomes from sequenced data.
Subject
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Topic
Fitness landscapes
Subject
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Topic
Physics and Astronomy
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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ETD_10629
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application/pdf
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text/xml
Extent
1 online resource (x, 88 pages) : illustrations
Note
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Ph.D.
Note
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier
(type = doi)
doi:10.7282/t3-c581-th34
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Khromov
GivenName
Pavel
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2020-03-18 21:03:45
AssociatedEntity
Name
Pavel Khromov
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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windows xp
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1.5
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2020-03-19T01:01:56
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2020-03-19T01:01:56
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