The Pawsey Supercomputing Centre

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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…

African and Australian whiteflies: outbreak causes and sustainable solutions

By david satterthwaite • February 18th, 2015

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 and GPUs.  These phylogenetic programs utilize a Markov Chain Monte Carlo (MCMC)more…