Integration site preferences of endogenous retroviruses through linear regression analysis

by David Chen

In order to determine integration site preferences of endogenous retroviruses, my work focused on mapping previously collected genomic sequencing data to spatially determine insertion distance to genes. I then compared the data to previously simulated random distributions and conducted statistical analysis to determine the linear regression models that predict the integration sites. This project was authored in collaboration with postdoctoral scholar Lei Yang and under the supervision of Dr. Mary Poss.

Major: 
Science (PMAJ) Pre-Major
Exhibition Category: 
Health and Life Sciences
Exhibition Format: 
Oral Presentation
Campus: 
University Park
Faculty Sponsor: 
Mary Poss, Professor of Biology and Veterinary and Biomedical Sciences
Poster Number: 
32