The compute backbone for production genomics
Kütral means "fire" in Mapudungun. It is the local HPC platform used by Di Genoma Lab to process large sequencing datasets, run production workflows, and prototype new genomics algorithms.
- Compute
- 1000 CPU cores
- Memory
- 7 TB RAM
- Storage
- 200 TB, BeeGFS
Designed for reproducible research execution
Kütral is managed as a research platform, not an ad hoc compute pool. The goal is to move efficiently from method development to stable production runs while keeping analyses reproducible and auditable.
Scheduling and storage
Slurm coordinates jobs and BeeGFS provides high-performance shared storage for large genomics workloads.
Workflow execution
Nextflow and containers support portable execution across pilot studies, production runs, and collaborative projects.
Accessible operation
Open OnDemand and automated configuration support practical access, training, and reproducible operations.
Local compute keeps sensitive and complex genomics work under control
Kütral supports human genome assembly, somatic structural variant calling, long-read analysis, population genomics, metagenomics, and high-throughput workflow execution while keeping institutional data close to the research team.