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.
Author and committee
dc:creator, dc:contributor.*- Author
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- Al-Razgan, Othman
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Identifier
- hdl:1920/8933
- OAI identifier oai:identifier
- oai:MARS:1920/8933