“KubeGene” a Genome Sequencing Workflow Management Framework
summary
KubeGene is an open source workflow framework built on Kubernetes that schedules genome pipelines across hundreds of nodes to manage TB/PB of data; it runs WGS/WES, liquid biopsy and single‑cell pipelines (GATK supported), launches containers per step, and preserves legacy HPC commands via direct shell commands. One human genome yields ~200 GB per sample and KubeGene adds dynamic concurrency, autoscaling, namespace/file authorization, and a Kubernetes job engine; adoption and contributors already include Huawei, Filea Next Omics and partners.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 4:55Gene Sequencing
- 12:43Human Genome Sequencing
- 14:32Advantages of Container
- 18:25Workflow
- 27:03Framework
- 30:08Project
related talks
31mManaged Kubernetes — Next Gen Academic Infrastructure?
28mKubeFlux: An HPC Scheduler Plugin for Kubernetes
22mGenerative AI Model Data Pre-Training on Kubernetes: A Use Case S...
30mBuilding a Global Supercomputer with Virtual Kubelet
34mWG-Batch Updates: What’s New and What Is Next?
26mKubeCI - Cloud Native Continuous Delivery for Kubernetes
27mGen-AI at Scale: Simplifying Orchestration of Healthcare Applications Across Multi-Cluster Environme
45mkube-green