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“Ben helped us start to think outside of the limitations of running this analysis on our local machine to considering the possibilities of running hundreds and thousands of iterations."

“To run a large number of simulations and scenarios, we needed more computational power.”

The following article was written by the University of Canterbury Communications Department and published on the University of Canterbury website on 20 September 2016. NeSI supercomputing resources were used to support this research breakthrough.

“We are committed to ensuring that their research is successful and completed on time. If problems arise, we step in as quickly as we can.”

"As a result of this project the researchers' simulations are now running faster and robust software development practices are being utilised, giving the researchers confidence in their results and making future development easier."

"Coding is something we shouldn’t be afraid of and it is something we should embrace as scientists moving into the future of big data."

"Prompt responses from the NeSI team to our requests helped us solve our problems in a few minutes, which in turn allowed us to focus on scientific research rather than on dealing with technical issues."

"With the help of the NeSI staff we were able to reduce the time it took to run the analysis by 80 times."

“Finding viruses is never easy. Unlike everything else, like humans, mammals, vertebrates or even bacteria, there is no common shared genes between two viruses.”

PhD candidate Eric Lang is deepening our understanding of the Shikimate pathway, which may lead to therapies that affect bacteria, but not humans