The Centre for Systems Genomics is an interdisciplinary cross-faculty initiative of the University of Melbourne
We aim to understand biological systems, with a special focus on genomes as the blueprint for each system.
We are interested in biological systems of different scales, including molecular systems, cell systems, individuals, host-pathogen interactions, species interactions, and populations.
For more details see our Research Groups page.
Andrew completed his undergraduate BSc(Hons) degree in Zoology and Physiology at The University of Melbourne (1996-1999). His PhD was in the field of Reproductive Endocrinology enrolled through the Department of Zoology, the University of Melbourne and Howard Florey Institute. Andrew then received a prestigious NHMRC Early Career Research Fellowship (2005-2009) to work on developmental programming of adult disease in the Department of Physiology. He moved to the Baker IDI Heart & Diabetes Research Institute in 2009 to work firstly in the Human Epigenetics laboratory, then the Metabolic and Vascular Physiology laboratory (2010-2015). His research interests include cardiovascular physiology, glucose metabolism, lipid biology and interventional clinical trials.
Genomic Data Specialist
Originally from Perth, Bobbie obtained a double degree in Molecular Biology and Computer Science at Murdoch University. He has worked in a number of Bioinformatics roles including as a bioinformatics officer at the Centre for Comparative Genomics at Murdoch University, the Health Protection Agency UK (Now Public Health England) where he worked on The FF100 Swine flu database and also the Enteric Molecular Typing Network for the 5 nations and at the Australian Genome Research Facility here in Melbourne. In previous roles he was the administrator of the Cluster scheduling software (Sun Grid Engine) and was a Bioinformatician specialising in Genomic Assembly, RNA virus discovery, High performance computing and software pipeline optimisation. He also has experience in Web development, Database admin and creation, a number of computing languages including PERL, PHP and the MVC Frameworks Laravel and Ruby on Rails.
Centre for Systems Genomics
Computational statistics applied to population, evolutionary, medical and forensic genetics
Application of mathematical and statistical methods to phylogenetics and evolutionary biology
Systems biology, Mathematical Biology, Bioengineering
Irene Gallego Romero
Functional, regulatory and comparative genomics; pluripotent stem cells as systems for genomic studies in non-model mammals
Kim-Anh Lê Cao
Multivariate statistics, ‘omics data integration, feature selection, microbiome, computational statistical learning, R software
Statistical genetics with a particular interest in developing methods for, and applying them to, studies of population structure and immunogenetics
Statistical and computational approaches for the analysis of complex and large-scale genomic data with applications to functional genomics and molecular/trait evolution
Statistical genetics, association analysis, imputation, computational statistics, Bayesian data analysis
The Centre for Systems Genomics, University of Melbourne, welcomes applications to become an Associate Member (AM). AMs can be researchers at the University of Melbourne or other Parkville research institutes, or any others who have research interests relevant to Systems Genomics and can benefit from and contribute to the Centre as indicated below.
Benefits of AM status can include:
- Help with UoM Honorary or Visiting Researcher status where appropriate
- Card access to the Centre space
- Hot desk space for group leaders (shared office)
- Hot desk space for students & postdocs (open offices)
- Use of meeting room or other bookable rooms
- Infrastructure access (computing allocation)
- Opportunity to contribute to the planning of, and to participate in, Centre activities (such as workshops and seminars)
In return, AMs are expected to:
- Contribute to Centre activities
- Develop collaborations with Core research group members
- If the Centre’s resources are used, Centre affiliation should be included in publications
- Provide photo and brief bio for website
- Contribute to Centre annual reporting as requested
Interested in becoming an Associate Member? Contact a Research Group Leader or the Centre Research Manager for more information.
SNP heritability in complex traitsNews
Multi-omic data integrationNews
Genetics Research & Life InsuranceNews
Allan Motyer awarded the Early Career Researcher Oral Presentation Award, GeneMappers 2017News
Friday 12pm - 1pmSysGen Seminar – Nick Martin – 14th July, 2017Event
Friday 12pm - 1pmSysGen Seminar – Phoebe Chen – 30th June, 2017Event
Friday 12pm - 1pmSysGen Seminar – David Ascher – 23rd June, 2017Event
Friday 12pm - 1pmSysGen Seminar – Marnie Blewitt – 16th June, 2017Event
SysGen Seminar – Alistair Forrest – 9th June, 2017Event
SysGen Seminar – Alyssa Barry – 2nd June, 2017Event
SysGen Seminar – Juliet French – 26th May, 2017Event
SysGen Seminar – Jac Charlesworth – 19th May, 2017Event
SysGen Seminar – Charles Robin – 12th May, 2017Event
SysGen Seminar – Teo Yik Ying (YY) – 1st May, 2017Event
SysGen Seminar – Paul O'Reilly – 21st April, 2017Event
Friday 12pm - 1pmSysGen Seminar – Alex Fournier-Level – 31st March, 2017Event
SysGen Seminar – David Balding – 10th March, 2017Event
SysGen Seminar – Ray Tobler – 3rd March, 2017Event
SysGen Seminar – Adam Palmer – 15th February, 2017Event
SysGen Seminar – Joshua Quick – 10th February, 2017Event
SysGen Seminar – Michael Beer – 24th January, 2017Event
We create and distribute software tools for the research community
The KIR*IMP method will allow you to impute various KIR types using your data, including KIR gene copy number, KIR A or B haplotype and gene-content haplotypes.
Fast computation of LD-Adjusted SNP weights and Kinship matrices for genome-wide mixed-model analysis. Includes a generalised REML Solver and efficient gene-based association testing.
likeLTD is an R package for computing likelihoods for DNA profile evidence, including complex mixtures and when profiles are subject to dropout.
mixOmics is an R toolkit for the multivariate analysis of biological data, with a specific focus on ‘omics data integration and variable selection.
The best genomic predictor we can find, for individual genotype data and both binary and quantitative traits. Generalises the classical BLUP approach and largely retains its computational efficiency.
The Centre is located on Royal Parade at the University of Melbourne’s main Parkville campus (Building 184), a 20 minute walk or short tram ride (Route 19, Stop no. 11) from the city centre.
Centre for Systems Genomics
Building 184, Royal Parade
University of Melbourne
Parkville 3010, Victoria, Australia
|David Balding (Director)||Phone: 8344 3730||Email: firstname.lastname@example.org|
|Andrew Siebel (Research Manager)||Phone: 8344 0707||Email: email@example.com|
|Bobbie Shaban (Genomic Data Specialist)||Phone: 8344 8731||Email: firstname.lastname@example.org|