Methods for Long-reads bioinformatics
Dr. Fatih Karaoğlanoğlu
University of British Columbia
Abstract: High-throughput sequencing (now referred to as short-read sequencing) has revolutionized genomics by providing large-scale, cost-effective, and accurate reading of genetic material. Since its inception, many methods have been developed to process the vast amounts of data generated by these technologies. While the contribution of short reads was significant, their length was a limiting factor for obtaining a complete picture of omics. More recently, long-read sequencing technologies have again revolutionized omics by providing extended read lengths, enabling the resolution of complex regions of genomes. Despite this, long-read sequencing had a major drawback: its low accuracy. Initially having an error rate of more than 15%, earlier methods designed for short and accurate reads were not suitable for this new type of data. Overcoming this drawback and fully utilizing the benefits of long-read sequencing required the development of new methods, and many methods have been developed to improve mapping, assembly, and many other tasks. In this talk, I will present my past contributions to long-read bioinformatics and outline some future endeavors in bioinformatics aimed at tackling novel challenges and leveraging advances in sequencing technologies.
Biography: Fatih Karaoğlanoğlu is a Postdoctoral Research Fellow in the Faculty of Medicine at the University of British Columbia (UBC). Their research focuses on bioinformatics algorithms, with interests spanning genome assembly, structural variation, transcriptomics, and immunogenomics. They currently work with Dr. Lucia Nappi and Dr. Faraz Hach. Dr. Karaoğlanoğlu earned their Ph.D. in Computing Science from Simon Fraser University, where they conducted doctoral research under the supervision of Prof. Dr. Cédric Chauve.
Date: January 08, Thursday @ 13:30
Place: EA 409