NeSI Case Study Tony Merriman

Finding genetic help for Māori health

“We’re using NeSI to allow us to do gene alignments – sequencing millions of small segments of DNA."
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NeSI Case Study Timothy Bilton Ken Dodds AgResearch

Optimising tools used for genetic analysis

“NeSI helped our team profile our code to detect inefficiencies and helped improve our code, allowing us to run our analyses faster.”
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NeSI Case Study Daniel White

Controlling invasive predators with local research

“The support at NeSI has been great. If I had a problem with software running, or need a new program installed, they were there. It’s saved a lot of time.”
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David Welch Water Xie NeSI Case Study

Addressing key questions in evolution

"Without NeSI, these computationally intensive studies would simply not be viable."
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Understanding environmental processes on a microbial level

"High performance computing is essential for researchers working with large and complex genomic datasets. "
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Pieris brassicae

Predictive models to combat invasive species

“To run a large number of simulations and scenarios, we needed more computational power.”
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Priorities for conservation of NZ’s ecosystems and species

“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."
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UC scientists make biomolecular breakthrough

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.
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The University of Otago is at the technological frontier

“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.”
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Finite element modelling of biological cells

"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."
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