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“I think that was quite helpful for students in that they were learning transferable skills that weren’t just around HPC and the data space, but were skills they could offer a PhD group."

"These calculations create a large number of files; NeSI was able to store these files and help us navigate them."

"Without NeSI’s input, we would have been much more limited. We wouldn’t have been able to develop a national-scale system running in real-time."

Together, NeSI and Genomics Aotearoa have the domain knowledge, technical skills, and motivation to address the skills gap facing New Zealand’s genomics and bioinformatics sector.

GNS Science researchers are producing detailed images of the 3D structure and geometry of the Hikurangi mega-thrust region using a technique called seismic tomography.

"Rendering this grid in the traditional way is not trivial – it would take longer to render the result than run the model each time I wanted to find errors. I approached NeSI and we started talking about visualisation."

“By understanding the abundance and distribution of different marine mammals in New Zealand, we can inform conservation policy, management of marine resources, licensing for offshore activity and create better environmental impact assessments.”

"I’m lucky to have access to a cluster like NeSI’s. Without it, I’d be running this model for years, rather than about a month.”

"We contacted NeSI because we were going from trying to assemble 100,000 individual 150 nucleotide base sequences, to trying to assemble 1.4 billion. We were having computational issues with memory, but also time."

"It’s been helpful to have routines optimised through NeSI assistance... it’s easier for students and researchers to put their data into the model, experiment with the governing parameters, and then observe what comes out of it."