High dimensional dynamics in ecology and evolution
Abstract/Contents
- Abstract
- With advances in genomics, the study of evolution is more quantitative than ever. We can now attempt to answer questions like: how fast is evolution in different scenarios? How predictable is it? Why are there so many different types of organisms? In this thesis, we explore three questions in quantitative biology using theoretical approaches. In chapter one, we explore the effect that epistasis - interactions between mutations - has on long-term evolutionary dynamics. In chapter two, we explore models of diversity in ecosystems and show that spatial structure can stabilize such diversity for long periods of time. In chapter three, we develop a model of co-evolution in the context of host-pathogen interactions, and discuss conditions for the generation of diversity.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2019; ©2019 |
Publication date | 2019; 2019 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Agarwala, Atish | |
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Degree supervisor | Fisher, Daniel S | |
Thesis advisor | Fisher, Daniel S | |
Thesis advisor | Ganguli, Surya, 1977- | |
Thesis advisor | Kachru, Shamit, 1970- | |
Degree committee member | Ganguli, Surya, 1977- | |
Degree committee member | Kachru, Shamit, 1970- | |
Associated with | Stanford University, Department of Physics. |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Atish Agarwala. |
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Note | Submitted to the Department of Physics. |
Thesis | Thesis Ph.D. Stanford University 2019. |
Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Atish Agarwala
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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