Alan Rubin (Walter and Eliza Hall Institute of Medical Research, Melbourn, Australia): Analyzing and Sharing Data from High-throughput Mutagenesis Experiments.

Abstract

Modern functional genomics techniques such as deep mutational scanning allow researchers to experimentally measure the impact of thousands of genetic variants at once. Collectively known as Multiplexed Assays of Variant Effect (MAVEs), these approaches present new challenges and opportunities for bioinformaticians and computational biologists who want to analyze the data and use it in their research. This talk will cover developments in MAVE data analysis methods and software, as well as the community database MaveDB, where users can freely access many hundreds of datasets from a diverse collection of genes and experimental systems.