Infrastructure

Platforms

Di Genoma Lab operates integrated sequencing and compute infrastructure through SeqUOH and the Kütral HPC environment.

Platforms

Local infrastructure for sequencing, compute, and reproducible delivery

The lab works best when projects move directly from experimental design to scalable computation without fragile handoffs. Our infrastructure combines long-read sequencing, institutional HPC, and workflow engineering.

SeqUOH sequencing platform

SeqUOH supports Oxford Nanopore long-read applications including genome assembly, structural variation, transcriptomics, targeted sequencing, and methylation-aware analysis.

Platforms: GridION and P2 Solo
Output: 10 to 580 Gb per run
Use cases: Assembly, SV, direct RNA, targeted panels

Detailed sequencing page

Kütral HPC

Kütral is the computational backbone for production genomics, algorithm development, high-memory assembly, institutional data control, and large-scale reproducible workflows.

Compute: 1000 CPU cores
Memory: 7 TB RAM
Stack: BeeGFS, Slurm, Nextflow, Open OnDemand

Detailed HPC page

For software and workflows built on top of this infrastructure, see the software catalog.