Detecting Structural Variants In The Next Generation Sequencing Data And Its Applications On Complex Diseases And Evolutionary Genetics

About the speaker

Dr. Karakoc is currently an Assistant Professor at the Department of Computer Engineering at Istanbul Medipol University since March 2016. He graduated from Bilkent University Dept. of Computer Engineering in 2002, and received his Ph.D. in Computer Science from Simon Fraser University in 2007. During his Ph.D. he worked on the RNA secondary structure prediction, RNA-RNA interaction prediction and QSAR models for clustering small chemical molecules.

He then joined the Department of Genome Sciences of the University of Washington as a postdoctoral fellow. He worked on identification of small insertions and deletions from next generation sequencing data, computational prediction of human variation and system biology applications (protein-protein interactions) of these variants in complex diseases such as autism. He then joined the Max Planck Institute for Evolutionary Biology as a postdoctoral researcher where he worked on population genetics, specifically developing computational methods for identification of admixture and adaptive introgression. Since then he is applying combinatorics algorithms on a wide range of biological problems.