GenomeIDE
From Edit Idea to Audit Trail: A Decision-Grade Workflow
A minimal pipeline: intent → constraints → evidence → policy gate → export.
A decision-grade genome editing workflow captures intent, constraints, evidence, and approvals as replayable artifacts—turning experiments into defensible decisions.
Tool definition
What the tool is
A decision-grade workflow treats the decision as the primary artifact: intent, constraints, and evidence are captured before wet-lab spend, then verified against reads later.
Decision pressure
Why scientists care
Most workflow failures are not dramatic—they are quiet: undocumented assumptions, inconsistent exports, and missing evidence discovered only after time and budget are gone.
Genome IDE fit
How the Genome IDE helps
Define an Edit Program as the unit of governance and review
Scoring model
How the algorithm works
Helix models the lifecycle as linked stages: intent declaration, constraint selection, evidence computation, policy enforcement, and export packaging.
Evaluation path
Try it in the Genome IDE
Pick one real Edit Program and run the full workflow end-to-end: define intent, declare constraints, generate evidence, export a bundle, then verify it offline.
Questions
FAQ
What is an Edit Program?
An Edit Program is the unit of value and governance: a long-lived decision boundary with policies, evidence artifacts, and validation outcomes that must be defendable later.
Where do policy gates fit?
Policy gates sit between evidence computation and export. If required evidence is missing, the decision is blocked and the workflow tells you what is required.
How do teams share decision-grade artifacts?
As exportable evidence bundles: PDFs for humans, machine-readable manifests for verification, and hashes to prove integrity across handoffs.