Assoc. Prof. Dr. Mehmet Baysan
Istanbul Technical University
Istanbul, TR
Biography
Assoc. Prof. Dr. Mehmet Baysan is currently a faculty member in the Department of Computer Engineering at Istanbul Technical University. He founded and currently manages BaysanLab, which brings together scientists from different fields such as Computer Engineering, Genetics, Biotechnology, and Medicine. Dr. Baysan graduated from Bilkent University’s Computer Engineering Department in 2003 and completed his master’s and doctoral degrees at The University of Texas at Dallas’ Department of Computer Science in 2005 and 2008, respectively. In 2010, Dr. Baysan shifted his research focus to computational biology as a postdoctoral researcher in the Neuro-Oncology Branch of the National Cancer Institute (NCI), part of the National Institutes of Health (NIH) in the United States. Dr. Baysan then continued his bioinformatics research as a full-time researcher at the NYU Cancer Institute (2013) and subsequently at Weill Cornell Medical College (2015). Dr. Baysan’s primary research focus is on using computer technologies to transform health (particularly genetic) data into the most efficient diagnostic and therapeutic information and practical tools.
Title: Clinical NGS Analyses at the Intersection of Information and Genome Technologies
Abstract
At BaysanLab, we bring together computer engineering and genomics. These two fields have the potential to dramatically transform our lives. Computers allow us to develop higher-quality, faster, and more economical solutions in many areas thanks to the rapid computing and communication capabilities offered by the digital world. Genomic technologies, on the other hand, enable us to better understand biological functions and diseases through detailed profiling of genetic structures. Thanks to next-generation sequencing (NGS) technologies in particular, we can obtain detailed genetic maps of individuals at a very low cost. In our laboratory, we develop software and online platforms to analyze genetic data using the capabilities offered by information technology. In our work, we prioritize clinical genetic data to serve human life more directly.
Our field of work can be broadly defined as data science, specifically health data analysis, and more specifically, clinical genetic data analysis. In this talk, after a general introduction to data science, we will provide information about the structure and use of NGS data. Then, we will present a selection of projects from our laboratory. Some of these projects are:
-COSAP: Comparative NGS Data Analysis Platform
-NGS reproducibility analyses
-Performance Measurements of Variant Interpretation Software for ACMG Criteria Assignments
-Turkiye Genome Project Analyses
*Before the presentation, we invite all attendees to watch the movie GATTACA. Technologically, we have reached the point depicted in this film.