The Pawsey Supercomputing Centre


Genetic Signatures in Complex Human Diseases

By Daniel Bartels • June 22nd, 2015

A central goal of our Genetic Signatures Project is to identify combinations of gene variants that can be used to improve human disease diagnosis. The project uses as the input High-density genetic definition data, called  Single Nucleotide Polymorphisms (SNPs). There are approximately 360,000 SNPs for the kidney disease dataset we are investigating. GPU-enabled software wasmore…

Genomics, bioinformatics and supercomputing for agricultural development

By Daniel Bartels • June 22nd, 2015

Computational: Bayesian inference is one of the most important methods for estimating phylogenetic trees in bioinformatics. Due to the potentially huge computational requirements, several parallel algorithms of Bayesian inference have been implemented to run on CPU-based clusters, multicore CPUs, or small clusters of CPUs. These phylogenetic programs utilize a Markov Chain Monte Carlo (MCMC) methodmore…

Uncovering the microbiome of Australian ticks

By Daniel Bartels • June 22nd, 2015

The identification of emerging infectious diseases is of great medical and veterinary importance. Ticks (Acari: Ixodida) transmit a greater variety of pathogenic microorganisms than any other arthropod group, and are among the most important vectors of disease affecting humans and companion animals. Despite this there is little known about the pathogens ticks transmit to peoplemore…

Applying coalescent-based genetic simulations to the conservation of endangered species

By Daniel Bartels • June 19th, 2015

New analytical methods have recently been developed to use molecular data to estimate demographic fluctuations over time. These methods take advantage of coalescent theory and have a great relevance in a number of areas including wildlife conservation. Their application provides a unique opportunity to extrapolate vital information that would not otherwise be accessible. However wemore…

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