Science at the Shine Dome 2010

Annual symposium: Genomics and mathematics

Genome-wide studies are often carried out today to identify connections between genomic features and observable traits.They are of interest to medical scientists and biologists because they can help identify the genomic components of diseases such as cancer. But they also challenge, and therefore fascinate, mathematical statisticians, not least because they involve many more 'features' (eg, genes or fragments of DNA) than there are independent sources of information (eg, people in a sample). While data on genomic variation clearly lie at the heart of this work, mathematical methods and computational algorithms for implementing them are needed to make sense of the data.

The symposium will bring together scientists working on both genomic and mathematical aspects of these problems, so that each area might learn about the progress of the other, and to identify new frontiers in this rapidly evolving area.

Friday 7 May 2010
Symposium
8.45am Welcome
Professor Kurt Lambeck
President, Australian Academy of Science
8.50am Opening remarks
Professor Peter Hall FAA
9.00am Integrating science, technology, data and mathematics
Professor Terry Speed FAA
Bioinformatics, Walter and Eliza Hall Institute of Medical Research
9.30am Chair: Professor Terry Speed

Epigenetics and genetics: Discovery of layers of change in the cancer genome
Professor Susan Clark
Garvan Institute of Medical Research
10.25am Morning tea
10.50am Chair: Dr Iain Johnstone

Combining genomics and mathematics to learn about cancer
Professor Simon Tavaré
Department of Oncology, University of Cambridge
11.45am Statistical analysis of quantitative proteomics analysis
Dr Jean Yang
School of Mathematics and Statistics, University of Sydney
12.15pm Lunch
1.20pm Chair: Professor Susan Clark

Constraint-based reconstruction and analysis of metabolic and regulatory networks
Professor Lars Nielsen
Biological Engineering, Australian Institute for Bioengineering and Nanotechnology
2.15pm Studying cancer genomes at single nucleotide resolution
Professor Sean Grimmond
Institute for Molecular Bioscience, University of Queensland
2.45pm Effects of network topology on the speed, synchrony and reliability of transcriptional regulation
Professor Steven Evans
Departments of Statistics and Mathematics, University of California, Berkeley
3.40pm Afternoon tea
4.05pm Chair: Professor Peter Hall

Extremes of variation in high-dimensional data
Dr Iain Johnstone
Department of Statistics, Stanford University
5.00pm Closing remarks
Social program

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