
Melbourne Integrative Genomics
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Molecular model of protein indicating shape of protein backbone
Recent technological advances have led to new kinds, and large amounts of data in the biological and biomedical sciences – such as images at a very fine scale, DNA sequencing and other measurements at a molecular level. This has created computational challenges in managing, describing and modelling key features using these data. The Computational Biology Hallmark Research Initiative was created to strengthen cross-disciplinary relationships to solve these challenges.
The initiative built and strengthened cross-disciplinary and external collaborations in computational biology. And it raised public awareness and engagement with the computational biology community at the University. The initiative achieved this through:
The Computational Biology Hallmark Research Initiative was announced in 2014 with funding from the Deputy Vice-Chancellor Research and ran for three years. Dr Andrew Siebel continues as a key contact for the active community of computational biology researchers at the University.
Computational biology uses mathematical models and statistical inference techniques to help understand biological processes. Computational approaches are already prominent in:
Computational approaches are increasing in importance in many other areas of biology including:
The initiative developed a networked approach to strengthening collaborations, particularly engaging researchers from:
Image: CSIRO (CC BY 3.0)
Learn more about Melbourne Integrative Genomics