Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes
As knowledge of evolutionary processes has expanded over the years, we have deepened our understanding about how they drive organismal, cellular, and molecular biology and the factors beyond natural selection that are involved. Nevertheless, selection maintains a role in fixing and maintaining succe...
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Temple University
2020
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ftproquest:oai:pqdtoai.proquest.com:28256580 2023-05-15T15:10:43+02:00 Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes Northover, David 2020-01-01 00:00:01.0 http://pqdtopen.proquest.com/#viewpdf?dispub=28256580 ENG eng Temple University http://pqdtopen.proquest.com/#viewpdf?dispub=28256580 Biology|Bioinformatics thesis 2020 ftproquest 2021-03-13T17:39:00Z As knowledge of evolutionary processes has expanded over the years, we have deepened our understanding about how they drive organismal, cellular, and molecular biology and the factors beyond natural selection that are involved. Nevertheless, selection maintains a role in fixing and maintaining successful adaptations to new niches, whether from environmental change or organismal migration. Adaptation should not be considered solely on the level of individual genes and point substitutions as selection occurs on multiple levels. Examination on these multiple levels can further aid in understanding the constraints on evolution and how organisms can attain a phenotype. Here we present two packages of tools for the examination of selection on the levels of protein structure and genetic pathways as well as on the individual gene and sequence levels., followed by examples of potential applications. First, we present a package of Application Programming Interface (API) tools that simplifies use of The Adaptive Evolutionary Database. Second, we present a package of tools implemented in the Rust programming language for fast and reliable analysis of phylogenetic data. Then we describe the phenotypic data and methodology for use of these tools to analyze evolution on multiple levels, where genomic data is available. A broad scale analysis of the protein structural properties of evolutionary genetic changes in proteins is developed and described. We also present an organization of phenotypic data for mammals in the arctic biome, an ancestral reconstruction of the evolution of the phenotypic traits understudy, and demonstrate a methodology to apply the tool packages to this cohort when sufficient genomic data is available. Thesis Arctic PQDT Open: Open Access Dissertations and Theses (ProQuest) Arctic |
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Open Polar |
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PQDT Open: Open Access Dissertations and Theses (ProQuest) |
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ftproquest |
language |
English |
topic |
Biology|Bioinformatics |
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Biology|Bioinformatics Northover, David Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes |
topic_facet |
Biology|Bioinformatics |
description |
As knowledge of evolutionary processes has expanded over the years, we have deepened our understanding about how they drive organismal, cellular, and molecular biology and the factors beyond natural selection that are involved. Nevertheless, selection maintains a role in fixing and maintaining successful adaptations to new niches, whether from environmental change or organismal migration. Adaptation should not be considered solely on the level of individual genes and point substitutions as selection occurs on multiple levels. Examination on these multiple levels can further aid in understanding the constraints on evolution and how organisms can attain a phenotype. Here we present two packages of tools for the examination of selection on the levels of protein structure and genetic pathways as well as on the individual gene and sequence levels., followed by examples of potential applications. First, we present a package of Application Programming Interface (API) tools that simplifies use of The Adaptive Evolutionary Database. Second, we present a package of tools implemented in the Rust programming language for fast and reliable analysis of phylogenetic data. Then we describe the phenotypic data and methodology for use of these tools to analyze evolution on multiple levels, where genomic data is available. A broad scale analysis of the protein structural properties of evolutionary genetic changes in proteins is developed and described. We also present an organization of phenotypic data for mammals in the arctic biome, an ancestral reconstruction of the evolution of the phenotypic traits understudy, and demonstrate a methodology to apply the tool packages to this cohort when sufficient genomic data is available. |
format |
Thesis |
author |
Northover, David |
author_facet |
Northover, David |
author_sort |
Northover, David |
title |
Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes |
title_short |
Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes |
title_full |
Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes |
title_fullStr |
Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes |
title_full_unstemmed |
Comparative Bioinformatic and Molecular Evolutionary Analysis of Chordate Genes and Genomes |
title_sort |
comparative bioinformatic and molecular evolutionary analysis of chordate genes and genomes |
publisher |
Temple University |
publishDate |
2020 |
url |
http://pqdtopen.proquest.com/#viewpdf?dispub=28256580 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://pqdtopen.proquest.com/#viewpdf?dispub=28256580 |
_version_ |
1766341694527111168 |