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Quantitative and Computational Biology
 The research in QCB shares a common thread of using mathematical approaches to study biological problems. We recognise that biology is increasingly becoming a mathematical and computational science, driven particularly by the challenge of research within genomics, proteomics and population dynamics.
To meet the challenge, we are building a collaborative environment where we can engage our research with that of mathematicians and computer scientists and develop a common conceptual framework to describe the nature of living systems.
This is a new area of biology and we are actively seeking to recruit new collaborators and colleagues to support this challenging task.
Facilities and Affiliations:
Bioinformatics
Publications
A listing of publications for 2002
Research Teams:
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Team Leader
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Research Projects
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| A/Prof Andrew Collins |
- B-1 B cells and the allergic response
- The generation and regulation of the immunoreceptor repertoire
- Computational immunogenetics
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| Dr Bruno Gaeta |
- Bioinformatics
- Gene regulation and genetic networks
- Computational immunogenetics
- Bioinformatics user interfaces and service delivery
- Bioinformatics education
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| Prof Peter Little |
- A software package for the genetic analysis of human DNA
- Tools to prioritise and inform the search for causative mutations in genes
- The effects of genetic variation of patterns of gene expression using human and mouse genetic models allied to gene array technology
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| Dr Mark Tanaka |
- Mathematical biology
- Evolution in host-pathogen systems
- Evolutionary genetics of transposable elements
- Bioinformatics and molecular epidemiology
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| Professor Marc Wilkins |
- Proteomic characterisation of protein complexes associated with human disease
- Visualisation of high-dimensionality systems biology data
- Statistical evaluation of protein expression data
- Bioinformatic tools for protein identification and characterisation in proteomics
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| Dr Alan Wilton |
- Genetics
- Disease gene mapping in human and dogs
- Conservation genetics of dingoes
- Analysis of population structure using genetic markers
- Genetics of gestational diabetes mellitis
- Gene structure, function analysis
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