This course provides essential statistical skills to analyse and interpret vast health and medical data, transforming it into actionable insights. As we enter the data revolution, the scale and accessibility of health and medical data has reached unprecedented levels creating a growing need for expertise in extracting insights from this data. This course will provide […]
Statistical Bioinformatics SeminarDr Vipul Singhal, Head of Computational Biology, Integrated Biosciences, Inc A core property of solid tissue is the spatial arrangement of cell types into stereotypical spatial patterns. These cells can be investigated with spatial omics technologies to reveal both their omics features (transcriptomes, proteomes, etc), and their spatial coordinates. Because a cell’s state […]
Mark Keller, PhD student in the Bioinformatics and Integrative Genomics program at Harvard Medical School This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 We introduce Vitessce to address the need for a scalable, interactive, and extensible framework that supports visualization of spatial and multimodal single-cell data. Its modular architecture, compatibility with multiple file formats, and support […]
Liyang Song, PhD student, Westlake University This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Depicting spatial distributions of disease-relevant cells is crucial for understanding disease pathology. In our recent work, we developed a method, gsMap, that integrates spatial transcriptomics (ST) data with genome-wide association study (GWAS) summary statistics to map cells to human complex traits, including […]
Dr Ye Zheng, University of Texas MD Anderson Cancer Center This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Genome-wide hypertranscription is common in human cancer and predicts poor prognosis. To understand how hypertranscription might drive cancer, we applied our formalin-fixed paraffin-embedded (FFPE)–cleavage under targeted accessible chromatin method for mapping RNA polymerase II (RNAPII) genome-wide in FFPE […]
Statistical Bioinformatics Seminar
Dr Boxiang Liu, National University of Singapore
Dr Dharmesh D Bhuva, NHMRC Emerging Leadership Fellow (EL1), Frazer Institute, The University of Queensland This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Spatially resolved molecular measurements have revolutionised the study of disease systems, providing an unprecedented resolution and throughput of molecular measurements. The opportunity posed by such data requires a new set of tools […]
Statistical Bioinformatics Seminar
Dr Guillaume Jaume, Harvard Medical School
Statistical Bioinformatics Seminar
Dr Gladys Poon, HKU
Statistical Bioinformatics Seminar
Dr Ming Yang, HKUST
Statistical Bioinformatics Seminar
Dr Xiaomeng Wan, HKUST
Statistical Bioinformatics Seminar
Dr Luca Pinello, Harvard Medical School
