In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy
will defend his dissertation
Using Computational Analysis of Frequencies and Genomic Locations of 6-8 Nucleotide Long Sequences to Improve Quality of DNA Amplification
Random primer amplification (RPA) is a technique widely-used in a variety of genomic studies. Nonrandom distribution of short sequences across Human, animal, and bacterial genomes, however, causes bias which affects the amplification process and downstream analysis. The presented work focuses on computational strategies to explore statistical properties of the frequencies and location distributions of all possible short subsequences (6-8 mers) in human, animal, and bacterial genomes and use them to guide the primer design process in order to: reduce bias in single genome (human/animal) amplification and perform preferential microbial enrichment in the presence of host DNA.
Date: Wednesday, April 18, 2018
Time: 9:00 AM
Place: HBS, 350
Advisor: Dr. Ioannis Pavlidis & Dr. Yuriy Fofanov
Faculty, students, and the general public are invited.