RCC presentations
Below are the presentations RCC staff have delivered at talks, seminars, conferences, meetings and workshops. All presentations have been converted to a PDF format.
2018
- Computational and infrastructure support for the biosciences, by David Abramson, Winter School in Mathematical and Computational Biology, UQ Brisbane, 4 July 2018 (PDF, 5.3 MB)
- An introduction to Galaxy with the Nectar Genomics Virtual Laboratory, by Igor Makunin, Thom Cuddihy and Michael Thang, Winter School in Mathematical and Computational Biology workshop, UQ Brisbane, 4 July 2018 (PDF, 4.4 MB)
- MeDiCI goes North, South, East and West... and to the Amazon, by David Abramson, Jake Carroll, Chao Jin & Michael Mallon, AARnet meeting, 27 June 2018 (PDF, 19.2 MB)
- RNA-Seq in Galaxy: Tuxedo protocol, by Igor Makunin, Research Bazaar Brisbane workshop, 7 June 2018 (PDF, 4.1 MB)
- MeDiCI: UQ's Metropolitan Data Caching Infrastructure, by David Abramson, DMF Users Group meeting, UQ Brisbane, 6 June 2018 (PDF, 16 MB)
- Analysis of high-throughput sequencing data using Galaxy platform, by Igor Makunin, Centre for Digital Scholarship workshop, UQ Brisbane, 9 May 2018 (PDF, 5.8 MB)
2017
- Translational Computer Science: From The Lab To Practice, by David Abramson, 9th International Conference on Contemporary Computing (IC3), Nodia, India, 11 August 2017 (PDF, 11.7 MB)
- Caches all the way down: Infrastructure for Data Science, by David Abramson, 26th ACM International Symposium on High-Performance Parallel and Distributed Computing, Washington DC, 26 June 2017 (PDF, 11.7 MB)
- Workflows for Science and Engineering, by David Abramson, University of Oxford, 22 March 2017 (PDF, 18.2 MB)
2016
- It’s not my fault! Finding errors in parallel codes, by David Abramson, IEEE Cluster Workshop on Fault Tolerant Computing, Taipei, Taiwan, 12 September 2016 (PDF, 6.8 MB)
- Data Centric Debugging: Scaling to Infinity and Beyond?, by David Abramson, (PDF, 9.7 MB)
- Using Scientific Workflows for Science and Engineering Optimisation, by David Abramson (PDF, 6.8 MB)