A hands-on experience in personal genomics, privacy-first tooling, and the future of health intelligence.
Past events:
At Vitalist Bay: https://lu.ma/event/manage/evt-uIqHAA1GydQ5l5F/more
- Luma: https://lu.ma/event/manage/evt-uIqHAA1GydQ5l5F/overview
- Sola Day: https://app.sola.day/event/detail/14314
Who is it for?
- Curious individuals who’ve had (or plan to get) their genome sequenced.
- Biohackers, longevity enthusiasts, and systems biology nerds.
- Scientists & clinicians exploring personalised health strategies.
- People who want to learn how to interpret, annotate, and act on their omics data, without sending it to third parties.
What?
- Boot into GenomicOS on your own device using an encrypted usb flashdrive.
- Visualise your genome and annotate variants using open-source tools like OakVar, VEP, and IGV.
- Run risk scoring workflows (e.g. polygenic risk scores for Type 2 diabetes) locally.
- Understand how to explore protective, enhancing, or risky alleles using databases like GenAge or George Church’s allele list.
- Grasp the ethical and practical considerations of gene editing, AI-based prediction, and data ownership.
tasklist:
- zoom or google meet for live attendance
- story
- determine probability of ‘scary’ Gene
- How to contribute?
- Finalise first public iso release
- Sample dataset
- Contains Oakvar
- docs.genomicos.com
- Figure out what static site generator to use, markdown ideally?
- setup instructions,
- iso installation, prepare USB
- Hack your Genome workshop guide
- How to boot from USB flash drive
- load example genome
- run analysis, variant calling, longevity risk markers
- Interpretation of results
- Architecture overview
- Contribution guide
- distill https://genomicos.com/technology
- distill https://genomicos.com/security
- technical reference stub
- GUI for common workflows?
- Identify workflows
- Take Notebook based approach?
- Output visualisation
- Secure architecture preparation
- AMD SEV?
- Follow up with contributors and open-source maintainers
- Follow up with potential reseller
- Better/more clear 23andMe integration or Nebula raw data import
- Where will releases be hosted?