What happens when a researcher with a complex data pipeline connects with HPC expertise? At UiT Norges arktiske universitet, the answer is improved efficiency, stronger reproducibility, and a fully automated workflow.
Researcher Abby L. Chapman had developed an EM-seq pipeline for polar cod, but the process relied on manual steps that limited scalability. To move the work forward, she reached out to NRIS support through the Extended User Support (EUS) programme.
EM-seq (enzymatic methyl-sequencing) is a high-throughput method used to profile DNA methylation at single-nucleotide resolution across the genome, generating large and complex datasets that benefit from automated processing.
Through the collaboration, she was paired with NRIS HPC expert Magnar Bjørgve. Together, they transformed the workflow into a scalable solution running on the Saga supercomputer.
Key outcomes of the work include:
The result is a more efficient and reproducible analysis setup, allowing the researcher to focus less on technical execution and more on scientific interpretation.
This collaboration is an example of how NRIS expertise can help researchers make full use of national HPC infrastructure through the Extended User Support programme.