Bioresource Research

 

Computational advances and the development of high throughput sequencing methods have led to a virtual explosion of genomics, proteomics, and metabolomics data, providing new approaches to problems in biosciences. The computer-aided analysis of these data with new tools from information science comprises the field of Genomics/Bioinformatics. The Genomics/Bioinformatics option examines the use of computational techniques to convert large amounts of information from DNA sequencing, DNA chips, and other high-throughput experimental methods into useful information that can be shared with other research scientists and medical professionals. The emphasis is on DNA and protein sequence alignment and analysis, and involves computational biology and biological statistics.

 

Link to catalog:

Past research projects (examples):

• An automated approach to computational identification of microRNA genes in plant genomes. Dan Smith. Mentor: Dr. Jim Carrington, Botany and Plant Pathology.
• Genetic variation of Renibacterium salmoninarum genes in infected salmonids. Jeff Burnett. Mentor: Dr. Dan Rockey, Biomedical Sciences, College of Veterinary Medicine.

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