The ninth annual Australian Bioinformatics and Computational Biology Society Conference will be hosted at the University of Sydney 4-6 November 2024. Our centre director, research leaders and ECRs are members of the convening committee. Visit the conference website for full details https://www.abacbs.org/conference2024/home
The COMBINE Student Symposium is back in 2024! Visit the symposium website for all the details https://www.combine.org.au/symp/symposium-2024/
Statistical Bioinformatics Seminar: Judith and David Coffey Speaker Speaker: Prof David Ascher (University of Queensland) Abstract: We have developed a comprehensive computational platform that uses graph-based signatures to represent the wild-type environment of a residue in order to predict the structural and functional effects of mutations. This platform has been used to explore the effects […]
Statistical Bioinformatics Seminar Speaker: Dr Drew Williamson (Emory University) Abstract: Generative models such as ChatGPT have catapulted AI further into the mainstream than ever before, while interested parties in healthcare have begun to test these models in medical settings. However, these models are rarely purpose-built for medical applications and the majority of those that do exist are […]
Statistical Bioinformatics Seminar: Judith and David Coffey Speaker Speaker: Prof Matthew Ritchie (WEHI) Abstract: Sequencing-based Spatial Transcriptomics (sST) allows gene expression to be measured within complex tissue contexts. Although a wide array of sST technologies are currently available to researchers, efforts to comprehensively benchmark different platforms are currently lacking. The inherent variability across technologies and datasets poses challenges […]
Statistical Bioinformatics Seminar Speaker: Kwangmoon Park (University of Wisconsin-Madison) Abstract: Emerging single cell technologies that simultaneously capture long-range interactions of genomic loci together with their DNA methylation levels are advancing our understanding of 3D genome structure and its interplay with the epigenome at the single cell level. While methods to analyze data from single cell high […]
