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.
System of Record →Section 1
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.
Section 2
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.
Section 3
How Helix solves it
Define an Edit Program as the unit of governance and review
Section 4
How the algorithm works
Helix models the lifecycle as linked stages: intent declaration, constraint selection, evidence computation, policy enforcement, and export packaging.
Section 5
Try it in Helix Studio
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.
Section 6
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.