Thesis Defense: Computational methods for functional interpretation of diverse omics data
Date: Wednesday, May 01, 2019
Time: 9:30 AM to 10:30 AM
Event Type: Thesis Defense
Host: Bonnie Berger, Manolis Kellis, Eric Alm
Speaker URL: None
TALK: Thesis Defense: Sumaiya Nazeen "Computational methods for functional interpretation of diverse omics data," Wednesday, May 1, 2019 at 9:30am
Abstract: Recent advances in next-generation sequencing technologies have resulted in an explosive growth of diverse omics data. Functional interpretation of such data faces challenges due to their massive size and heterogeneity and calls for intelligent algorithms and scalable analytical frameworks. In this talk, I will present new computational methods that help address these challenges to enable the discovery of novel biological insights in downstream analyses. First, I will describe how an integrative transcriptomic analysis technique can be used to determine molecular similarities between co-occurring diseases from different organ systems. I will introduce our integrative pipeline that combines heterogeneous transcriptomic data from disparate sources and bridges the gap between frequentist and Bayesian inference approaches to produce robust statistics. Our pipeline enables the discovery of a novel innate immunity connection between autism spectrum disorder and its highly prevalent co-morbidities. Second, I will describe our sensitive and scalable alignment-free metagenomic functional profiling tool, Carnelian, that generates accurate and comparable functional summaries of large-scale metagenomic datasets; these functional profiles can be leveraged to enhance the utility of downstream analysis. I will demonstrate how our pipeline uniquely reveals trends in microbial metabolic function across diverse populations (different nations or geographical boundaries) with respect to healthy and disease individuals as well as in ecological studies. These results pave the way for more effective comparative functional omics research to facilitate our understanding of health and diseases and inform therapeutic decisions.
Created by Joanne Talbot Hanley at Thursday, April 25, 2019 at 1:40 PM.