In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy
will defend his dissertation proposal
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 downstream analysis. The presented work focuses on computational strategies to acquire statistical properties of the frequency and location distributions of all possible 6-8 mers (in a variety of genomes) and use them to improve quality of the RPA process including: reducing bias in single genome amplification and preferential microbial enrichment in the presence of host DNA.
Date: Friday, October 13, 2017
Time: 9:00 AM
Place: HBS 302
Advisors: Dr. Ioannis Pavlidis
Faculty, students, and the general public are invited.