{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/40346"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/40346","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Genome-wide association study of Pseudomonas aeruginosa adaptations to the cystic fibrosis lung","abstract":"Pseudomonas aeruginosais an opportunistic pathogen that chronically infects the lungs of patients with cystic fibrosis. We know that these bacteria evolve within the lung environment, and have an idea of some of the changes that occur. I performed a genome-wide association study inP. aeruginosausing a variety of analysis methods and several datasets of gene and SNP presence/absence. I determined that the machine learning algorithms random forest and support vector machines performed well on gene presence/absence and core SNP datasets, respectively, when compared with current methods (PLINK and treeWAS). Genes and SNPs already associated with adaptation to the CF lung environment, such asmucA,gyrA, andmexgenes, were found with these methods. Some hypothetical and probable proteins were also recovered, and are good candidates for future research.","abstract_html":"Pseudomonas aeruginosais an opportunistic pathogen that chronically infects the lungs of patients with cystic fibrosis. We know that these bacteria evolve within the lung environment, and have an idea of some of the changes that occur. I performed a genome-wide association study inP. aeruginosausing a variety of analysis methods and several datasets of gene and SNP presence/absence. I determined that the machine learning algorithms random forest and support vector machines performed well on gene presence/absence and core SNP datasets, respectively, when compared with current methods (PLINK and treeWAS). Genes and SNPs already associated with adaptation to the CF lung environment, such asmucA,gyrA, andmexgenes, were found with these methods. Some hypothetical and probable proteins were also recovered, and are good candidates for future research.","abstract_has_math":false,"creators":["Noah, Katherine Elizabeth"],"institution":"Carleton University","degree_name":"Master of Science (M.Sc.)","degree_level":"Master's","degree_discipline":"Biology","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-24T01:34:24Z","subjects":[],"languages":["en"],"rights":["Copyright © 2019 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["10.22215/etd/2019-13815"],"render_values":[{"text":"10.22215/etd/2019-13815","href":"https://doi.org/10.22215/etd/2019-13815","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14718/40346","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Noah, Katherine Elizabeth"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-04-08T19:58:47Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-04-08T19:58:47Z"]},{"key":"dc:date.issued","label":"Date","values":["2019"]},{"key":"dc:publisher","label":"Institution","values":["Carleton University"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (M.Sc.)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright © 2019 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["10.22215/etd/2019-13815"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.14718/40346"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Pseudomonas aeruginosais an opportunistic pathogen that chronically infects the lungs of patients with cystic fibrosis. We know that these bacteria evolve within the lung environment, and have an idea of some of the changes that occur. I performed a genome-wide association study inP. aeruginosausing a variety of analysis methods and several datasets of gene and SNP presence/absence. I determined that the machine learning algorithms random forest and support vector machines performed well on gene presence/absence and core SNP datasets, respectively, when compared with current methods (PLINK and treeWAS). Genes and SNPs already associated with adaptation to the CF lung environment, such asmucA,gyrA, andmexgenes, were found with these methods. Some hypothetical and probable proteins were also recovered, and are good candidates for future research."]},{"key":"dc:title","label":"Title","values":["Genome-wide association study of Pseudomonas aeruginosa adaptations to the cystic fibrosis lung"]}]}],"canonical_facts":{"dc:creator":["Noah, Katherine Elizabeth"],"dc:date.accessioned":["2025-04-08T19:58:47Z"],"dc:date.available":["2025-04-08T19:58:47Z"],"dc:date.issued":["2019"],"dc:description.abstract":["Pseudomonas aeruginosais an opportunistic pathogen that chronically infects the lungs of patients with cystic fibrosis. We know that these bacteria evolve within the lung environment, and have an idea of some of the changes that occur. I performed a genome-wide association study inP. aeruginosausing a variety of analysis methods and several datasets of gene and SNP presence/absence. I determined that the machine learning algorithms random forest and support vector machines performed well on gene presence/absence and core SNP datasets, respectively, when compared with current methods (PLINK and treeWAS). Genes and SNPs already associated with adaptation to the CF lung environment, such asmucA,gyrA, andmexgenes, were found with these methods. Some hypothetical and probable proteins were also recovered, and are good candidates for future research."],"dc:identifier.doi":["10.22215/etd/2019-13815"],"dc:identifier.uri":["https://hdl.handle.net/20.500.14718/40346"],"dc:language.iso":["en"],"dc:publisher":["Carleton University"],"dc:rights":["Copyright © 2019 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner."],"dc:title":["Genome-wide association study of Pseudomonas aeruginosa adaptations to the cystic fibrosis lung"],"dc:type":["thesis"],"thesis:degree_discipline":["Biology"],"thesis:degree_level":["Master's"],"thesis:degree_name":["Master of Science (M.Sc.)"]},"updated_at":"2026-07-24T01:34:24Z"}