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dc.contributor.advisorLiberles, David A.
dc.creatorNorthover, David
dc.date.accessioned2021-01-18T20:18:41Z
dc.date.available2021-01-18T20:18:41Z
dc.date.issued2020
dc.identifier.urihttp://hdl.handle.net/20.500.12613/4753
dc.descriptionAccompanied by two compressed .zip files: 1) Titled Charts 2) Appendices
dc.description.abstractAs knowledge of evolutionary processes has expanded over the years, we havedeepened 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 under study, and demonstrate a methodology to apply the tool packages to this cohort when sufficient genomic data is available.
dc.format.extent94 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectBiology
dc.subjectBioinformatics
dc.titleCOMPARATIVE BIOINFORMATIC AND MOLECULAR EVOLUTIONARY ANALYSIS OF CHORDATE GENES AND GENOMES
dc.typeText
dc.type.genreThesis/Dissertation
dc.description.departmentBiology
dc.relation.doihttp://dx.doi.org/10.34944/dspace/4735
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreeM.S.
dc.identifier.proqst14312
dc.creator.orcid0000-0003-2889-1098
dc.date.updated2021-01-14T17:06:39Z
refterms.dateFOA2021-01-18T20:18:42Z
dc.identifier.filenameNorthover_temple_0225M_14312.pdf


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