In medical research, the volume and resolution of data that can be produced using high-throughput technologies is ever increasing. Having access to efficient analysis tools that can deal with large-scale datasets is a critical area of research that needs continual refinement to adapt to new data types. In this presentation, I will provide an overview of some of the methods and software that have been developed to overcome bottlenecks in data analysis, followed by a panel discussion on open challenges that are areas of active research.
Professor Matt Ritchie is an experienced computational researcher, with skills in analysing high-throughput sequencing data and developing statistical methods implemented in open-source R/Bioconductor software for Bioinformatics analysis. Through close collaboration with bench scientists and clinicians, his analyses have revealed new insights into epigenetic processes, hematopoiesis, apoptosis and mechanisms of treatment resistance in cancer.