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A Computational Approach for SNP Discovery

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dc.contributor.advisor Matukumalli, Lakshmi
dc.contributor.author Al-Razgan, Othman
dc.creator Al-Razgan, Othman
dc.date 2013-08
dc.date.accessioned 2014-09-18T18:24:13Z
dc.date.available 2014-09-18T18:24:13Z
dc.date.issued 2014-09-18
dc.identifier.uri https://hdl.handle.net/1920/8933
dc.description.abstract The advent of the next-generation sequencing has revolutionized the ability of cattle genomics researchers to sequence many animals from a wide diversity of cattle breeds enabling extraction of high resolution genotypic data. Using these data to understand the relationship between the phenotypes and genotypes will enable significant improvements in food production and animal health. However the existing software methods for analyzing the sequence data and SNP discovery are not flawless and pose as a restriction for further research. The general objective of this dissertation is to equip the genomics researchers such as those working in Cattle with advanced computational tools and techniques, to utilize the ever amplifying accessibility of genome sequence in an effective manner.
dc.language.iso en_US en_US
dc.rights Copyright 2013 Othman Al-Razgan en_US
dc.subject phenotypes en_US
dc.subject genotypes en_US
dc.title A Computational Approach for SNP Discovery en_US
dc.type Dissertation en
dc.description.note This work was embargoed by the author and will not be available until August 2014. en_US
thesis.degree.name PhD in Bioinformatics and Computational Biology en_US
thesis.degree.level Doctoral en
thesis.degree.discipline Bioinformatics and Computational Biology en
thesis.degree.grantor George Mason University en


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