Mason Archival Repository Service

A Computational Approach for SNP Discovery

Show simple item record

dc.contributor.advisor Matukumalli, Lakshmi Al-Razgan, Othman
dc.creator Al-Razgan, Othman 2013-08 2014-09-18T18:24:13Z 2014-09-18T18:24:13Z 2014-09-18
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 PhD in Bioinformatics and Computational Biology en_US Doctoral en Bioinformatics and Computational Biology en George Mason University en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


My Account