Mining for Alternative Polyadenylation Events in Cancer using Large Scale RNA-Seq Datasets

This April, our webinar series features a talk by Dr. Tolga Can, a Professor at the Colorado School of Mines in the Department of Computer Science.

In this webinar, Tolga will summarize his work with Dr. Elif Erson-Bensan’s group on screening for alternative polyadenylation events in cancer cells using publicly available RNA-seq datasets and utilizing the resources on the CGC. He will specifically talk about:

• How the tools on CGC can be utilized to speed up data upload, preprocessing, and alignment stages for hundreds of samples.

• How programmatic access allows you to automatically update metadata of individual samples to avoid manually entering the information for datasets containing hundreds of samples.

• Use of locally installed and cloud-based tools together for downstream analysis

More about the speaker

Tolga Can

Tolga Can received his BSc degree in computer engineering from Middle East Technical University, Turkey, in 1998 and his PhD degree in computer science from the University of Santa Barbara in 2004 as a Fulbright scholar. He worked as a tenured professor at the Computer Engineering Department, Middle East Technical University (METU) until he joined the Colorado School of Mines as a Teaching Professor in Computer Science.

His main research interests include bioinformatics, graph theory, and algorithms. He has worked on protein structure analysis and on large-scale biological networks.