Mining for Alternative Polyadenylation Events in Cancer Using Large Scale RNA-Seq Datasets
In this month’s Cancer Genomics Cloud (CGC) webinar, Dr. Tolga Can of the Colorado School of Mines will share how he and members of the Erson-Bensan Lab are using publicly available RNA-seq data sets and CGC resources to screen for alternative polyadenylation events in cancer cells.
Dr. Tolga will discuss how to:
- utilize the tools on CGC to speed up data upload, preprocessing, and alignment stages.
- use programmatic access to automatically update the metadata of individual samples to avoid manually entering the information for data sets containing hundreds of samples.
- use locally installed and cloud-based tools together for downstream analysis.
As one of the three Cloud Resources within the NCI Cancer Research Data Commons, the Seven Bridges’ CGC (Velsera) provides researchers access to a wide variety of data sets, a catalog of tools to analyze and visualize the data directly from the browser, and scalable computational resources to perform large scale analysis on the cloud.
Dr. Can is a computer science professor at the Colorado School of Mines. His main research interests include bioinformatics, graph theory, and algorithms. He has worked on protein structure analysis and large-scale biological networks.