Hypothesis building using the Animal Trait Ontology

dc.contributor.advisor James Reecy
dc.contributor.advisor Vasant Honavar
dc.contributor.advisor Max Rothschild
dc.contributor.author Hughes, LaRon
dc.contributor.department Theses & dissertations (Interdisciplinary)
dc.date 2018-08-22T20:02:08.000
dc.date.accessioned 2020-06-30T07:46:09Z
dc.date.available 2020-06-30T07:46:09Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2008
dc.date.issued 2008-01-01
dc.description.abstract <p>With the advent of sequencing projects in model organisms, humans, and domesticated livestock species, the need for storage, retrieval, and analysis of genomics information for these animals has become important. The Animal Trait Ontology (ATO) is an ontology that has been created to store the relationships between farm animal traits for several domesticated farm animals. The Collaborative Ontology Building (COB) editor was used to create and edit the ATO. An online ontology browser has been developed to search and browse the ontology and to view the relationships between the terms. Some of the traits in the ontology are linked to associated quantitative trait loci (QTL) information for each species through a tool called the Comparative Animal QTL (CAQ) tool which allows users to compare QTL experiments in livestock species. The tool allows QTL experiments to be compared based on (1) one trait given one species, and (2) two traits given one species. The effectiveness of the tool is recorded in the form of a data and statistical analysis which demonstrates its use in examining pleiotropic effects for traits in the pig. In addition, the Human and Animal Trait Ontology is discussed and it will form an agglomeration of several different species ontologies, including the ATO, that will form a consensus for describing phenotypes and traits across different disease models.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/15647/
dc.identifier.articleid 16646
dc.identifier.contextkey 7037866
dc.identifier.doi https://doi.org/10.31274/rtd-180813-16860
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/15647
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/69300
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/15647/3307074.PDF|||Fri Jan 14 20:44:23 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Bioinformatics
dc.subject.keywords Animal science;Bioinformatics and computational biology;
dc.title Hypothesis building using the Animal Trait Ontology
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
thesis.degree.discipline Bioinformatics and Computational Biology
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
File
Original bundle
Now showing 1 - 1 of 1
Name:
3307074.PDF
Size:
2.89 MB
Format:
Adobe Portable Document Format
Description: