Tracking Genome Sequence Data of Cancer Patients with Docker
summary
Labs use Docker to package dozens of bioinformatics tools into Dockerized pipelines that run from a laptop to the cloud, enabling analysis of tens of thousands of cancer genomes or single-patient, real-time clinical workups. The team publishes core pipelines under MIT at genomes-analysis-workflows, accepts contributions, and claims reproducible results by locking environments and swapping algorithms without rebuilds; these pipelines are actually used in production research and clinical analyses, not just demos.
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chapters (8)
- 0:00Welcome
- 1:04Bioinformatics and cancer genomics
- 2:29Chris Miller's career
- 3:57Genome sequencing scale
- 4:39Global research collaborations
- 6:03Docker for genome analysis
- 8:12GitHub workflows
- 9:39Closing
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