Denis Bauer

Real-time analysis through cloud-based solutions is expected in every domain, including life sciences. However, keeping runtime to real-time and constant can be challenging for problems that vary in their complexity such as genome engineering. Here, the whole genome needs to be analyzed for every potential modification spot, hence the computational complexity of finding the optima spot can vary by orders of magnitude. Using AWS Lambda we break down this task into smaller sub-tasks that can be solved in parallel by instantaneously recruiting additional Lambda functions as the complexity increases. The resulting web-tool, GT-Scan2 was featured on the prestigious AWS Jeff Barr blog as it brings together novel scientific insights and unprecedented cloud-compute capacity. This same idea has been used for building CryptoBreeder. In this presentation, we will discuss the general template for serverless web-application and discuss bespoke solutions for overcoming technical limitations server-less imposes.

Dr.Bauer and her team have been working to build genome-scale data pipelines that address the computational challenges and limits present in today’s cancer genomic (bioinformatics) data workflows. Dr. Bauer and her team have built solutions which use modern architectures, such as serverless (AWS Lambda) and also customised machine learning on Apache Spark. AWS Community Hero. The CSIRO team is pushing solutions at the cutting edge of bioinformatics research which best utilizes advances in cloud technologies. In this demo-filled session, Dr.Denis will discuss and demonstrate some of the work they’ve done in the bioinformatics research.