Novel Pipeline for Large-Scale Comparative Population Genetics
This study determined population genetic structure measures, compared these measures across species with different biological traits; and created efficient, reproducible, reusable programming modules that are publicly available for future research. Cytochrome C Oxidase subunit I gene sequences from...
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University of Guelph
2022
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ftunivguelph:oai:atrium.lib.uoguelph.ca:10214/27408 2023-12-24T10:17:12+01:00 Novel Pipeline for Large-Scale Comparative Population Genetics Majoros, Samantha Adamowicz, Sarah 2022-12-09 application/pdf https://hdl.handle.net/10214/27408 en eng University of Guelph https://hdl.handle.net/10214/27408 All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated. Bioinformatics Population Genetics R Programming Thesis 2022 ftunivguelph 2023-11-26T00:02:22Z This study determined population genetic structure measures, compared these measures across species with different biological traits; and created efficient, reproducible, reusable programming modules that are publicly available for future research. Cytochrome C Oxidase subunit I gene sequences from Diptera (true fly) species from Greenland and Canada were used as a case study and proof of concept. I hypothesized that population genetic structure measures will be influenced by the biological traits of organisms. Data were pulled from public databases, as well as taxon-specific literature. The R pipeline includes fifteen modules that can be adapted and applied to a diverse set of animal groups, geographic regions, genes, and traits. Habitat, larval diet, geographical distance, latitude, and longitude were all significantly related to population genetic structure in Diptera. Overall, this study has created efficient, reusable bioinformatics modules, as well as provided insight into the factors affecting population genetic structure in Northern fly communities. Natural Sciences and Engineering Research Council of Canada Genome Canada Thesis Greenland University of Guelph: DSpace digital archive Canada Greenland |
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Open Polar |
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University of Guelph: DSpace digital archive |
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ftunivguelph |
language |
English |
topic |
Bioinformatics Population Genetics R Programming |
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Bioinformatics Population Genetics R Programming Majoros, Samantha Novel Pipeline for Large-Scale Comparative Population Genetics |
topic_facet |
Bioinformatics Population Genetics R Programming |
description |
This study determined population genetic structure measures, compared these measures across species with different biological traits; and created efficient, reproducible, reusable programming modules that are publicly available for future research. Cytochrome C Oxidase subunit I gene sequences from Diptera (true fly) species from Greenland and Canada were used as a case study and proof of concept. I hypothesized that population genetic structure measures will be influenced by the biological traits of organisms. Data were pulled from public databases, as well as taxon-specific literature. The R pipeline includes fifteen modules that can be adapted and applied to a diverse set of animal groups, geographic regions, genes, and traits. Habitat, larval diet, geographical distance, latitude, and longitude were all significantly related to population genetic structure in Diptera. Overall, this study has created efficient, reusable bioinformatics modules, as well as provided insight into the factors affecting population genetic structure in Northern fly communities. Natural Sciences and Engineering Research Council of Canada Genome Canada |
author2 |
Adamowicz, Sarah |
format |
Thesis |
author |
Majoros, Samantha |
author_facet |
Majoros, Samantha |
author_sort |
Majoros, Samantha |
title |
Novel Pipeline for Large-Scale Comparative Population Genetics |
title_short |
Novel Pipeline for Large-Scale Comparative Population Genetics |
title_full |
Novel Pipeline for Large-Scale Comparative Population Genetics |
title_fullStr |
Novel Pipeline for Large-Scale Comparative Population Genetics |
title_full_unstemmed |
Novel Pipeline for Large-Scale Comparative Population Genetics |
title_sort |
novel pipeline for large-scale comparative population genetics |
publisher |
University of Guelph |
publishDate |
2022 |
url |
https://hdl.handle.net/10214/27408 |
geographic |
Canada Greenland |
geographic_facet |
Canada Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
https://hdl.handle.net/10214/27408 |
op_rights |
All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated. |
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1786205153588674560 |