Theoretical Foundations & Software Infrastructure for Biological Network Databases

 Published On Apr 6, 2018

Mehmet Koyuturk is a professor at the Department of Electrical Engineering and Computer Science at Case Western Reserve University. Ananth Grama is the Samuel Conte Professor of Computer Science at Purdue University. In this web lecture, Dr. Koyuturk and Dr. Grama will present on the topic “Theoretical Foundations & Software Infrastructure for Biological Network Databases."

Video Description
In biomedical applications, network models are commonly used to represent interactions and higher-level associations among biological entities. Integrated analyses of these interaction and association data have proven useful in extracting knowledge and generating novel hypotheses for biomedical research. However, existing computational infrastructure for storing and querying, network data target networks at smaller scales. In this seminar, we will describe algorithms and indexing techniques that use results from classical linear algebra for fast processing of network proximity queries on very large networks. We will then demonstrate sample applications of these algorithms in the context of drug repositioning, construction of tissue-specific protein interaction networks, and single-cell transcriptomics.

About the Speakers
Mehmet Koyutürk received his Ph.D. degree (2006) in Computer Science from Purdue University and his B.S. (1998) and M.S. (2000) degrees from Bilkent University, respectively in Electrical Engineering and Computer Engineering. He is currently Professor at the Department of Electrical Engineering and Computer Science at Case Western Reserve University (CWRU). He also holds a secondary appointment at the Center for Proteomics and Bioinformatics at the School of Medicine. His research focuses on the analysis of biological networks, systems biology of complex diseases, and computational genomics. Mehmet is an associate editor for IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).

Ananth Grama is the Samuel Conte Professor of Computer Science at Purdue University. His areas of research include high-performance computing, large-scale data analytics, and computational biology. He received his Ph.D. from the University of Minnesota in 1996 and has been at Purdue since.

View slides from this lecture:
https://drive.google.com/open?id=1_u5...

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