STEP 01
WHAT WE STANDARDIZE
Bring in the work
Keep cohort and variant findings attached to the evidence that supports them.
→APP DATA OS · GENOMICS · GENOMICS LAB REVIEWS COHORTS AND VARIANTS, ROUTES UNCERTAIN INTERPRETATIONS TO SPECIALISTS, AND EXPORTS A STUDY-READY FINDING PACKET.
Every variant. Two signatures.
Bring cohort definitions, variant files, and study rules into one place. The lab highlights unclear findings, sends them to reviewers, and preserves the analysis trail in the final record.
ACCEPTED FORMATS
VCF / CSV / study metadata
Start with the files and records the team already uses.
DECISION OWNER
Genomics analyst
Keep the right specialist or approver on the work that needs judgment.
OUTCOME
Study packet
Hand off one reviewed record instead of scattered notes.
HOW IT WORKS
Three steps. Cohort and variant data in. Specialist interpretation where needed. Study packet out.
Bring in the work. Standardize the step. Hand off a clean result.
STEP 02
WHAT WE REVIEW
a finding needs to stay connected to the source analysis so downstream biology, clinical, or research teams can trust it.
Upload the cohort and variant set, inspect flagged cases, and export one study packet.
→STEP 03
WHAT WE SIGN
Leave with a clean result
Get one study packet with the decision, evidence, and status attached.
WHY IT EXISTS
The reason a genomics team buys the app.
Use this when a finding needs to stay connected to the source analysis so downstream biology, clinical, or research teams can trust it.
THE PROBLEM
Use this when a finding needs to stay connected to the source analysis so downstream biology, clinical, or research teams can trust it.
THE REVIEW MOTION
Cohort and variant data in. Specialist interpretation where needed. Study packet out.
THE OUTCOME
Cohort lineage, interpretation notes, reviewer sign-off, and approved findings stay in one study record.
WHY TEAMS BUY IT
Bring cohort definitions, variant files, and study rules into one place. The lab highlights unclear findings, sends them to reviewers, and preserves the analysis trail in the final record.
FOCUS AREAS · THREE WINDOWS
The three places this app does the work.
Cohort and variant data in. Specialist interpretation where needed. Study packet out.
AREA · 01
Cohort review
Start with the real cohort and variant set and the rules that matter.
- ↳Bring in VCF / CSV / study metadata without stripping away context.
- ↳Keep project constraints visible from the first step.
- ↳Give the team one clear place to start the review.
AREA · 02
Variant interpretation
Send the hard calls to the genomics analyst.
- ↳Surface the cases that need human judgment.
- ↳Keep reviewer notes attached to the decision.
- ↳Make approvals, overrides, and escalations easy to explain later.
AREA · 03
Study sign-off
Hand off a study packet the next team can trust.
- ↳Export lineage, notes, and approval status together.
- ↳Save repeat failures as checks for the next run.
- ↳Deliver one clean packet for the next team or gate.
WORKFLOW · THREE STAGES
The walkthrough your team runs.
Cohort lineage, interpretation notes, reviewer sign-off, and approved findings stay in one study record.
STAGE · 01
01
Bring in the cohort and variant set
Load the work, context, and rules into one record.
- ·Use VCF / CSV / study metadata.
- ·Capture the project rules before review starts.
- ·Keep the original context attached.
STAGE · 02
02
Review what needs judgment
Score the work and send the decisions that need judgment to the genomics analyst.
- ·Highlight what can move fast and what cannot.
- ·Record reviewer notes and final calls.
- ·Keep the audit trail readable.
STAGE · 03
03
Export the study packet
Package the approved result for the next team, approval gate, or audit request.
- ·Bundle the evidence with the decision.
- ·Save the same mistake as a future check.
- ·Hand off a packet someone else can inspect.
STARTS FROM
A model already suited to the workflow.
STARTER MODEL
Nucleotide Transformer
Starts with Nucleotide Transformer-style encoders and open variant interpretation models suited to genomic review.
Analyst decisions, cohort outcomes, and confirmed interpretations improve the lab on your own genomic context.
AuraOne supports the first workflow design. Your genomics team keeps ownership of interpretation standards.
READING · GENOMICS · LIVE
00·00 INTAKEUSE THIS WHEN A FINDING NEEDS TO STASIGN 04·18
REVIEWER · EVIDENCE · OUTPUT
The work and the people who sign for it.
Specialist reviewers, the evidence they keep, and the result the next team consumes.
REVIEWER TYPE
genomics analyst
ENTRY MOTION
Cohort and variant data in. Specialist interpretation where needed. Study packet out.
EVIDENCE PATTERN
Cohort lineage, interpretation notes, reviewer sign-off, and approved findings stay in one study record.
OUTPUT SUMMARY
Get one study packet with the decision, evidence, and status attached.
PAINFUL STEP
a finding needs to stay connected to the source analysis so downstream biology, clinical, or research teams can trust it.
WHAT YOU KEEP
Reviewed study data, interpretation rules, and tuned weights your genomics team can keep.
↳ WORKFLOW ARCHETYPES
cohort reviewvariant interpretationstudy sign-offCONNECTED MODULES · INSIDE THE OS
What this app plugs into.
The genomics app does not run alone. Each captured decision feeds into the AuraOne modules that govern release, memory, and review — one record, one standard, one packet.
№ 01 · MODULE
Models
№ 02 · MODULE
Workforce
№ 03 · MODULE
Regression Bank
№ 04 · MODULE
Control Center
ON THE RECORD · A GENOMICS PROGRAM
“The review used to be the bottleneck. Now it’s the part of the workflow that moves the fastest. The record travels with the work.”
WHAT YOU KEEP
Your work. Your data. Your AI.
WORKFLOW
Real cases
Files, batches, and cases your team already runs. Not a demo.
DATA
Your tenant
In your VPC. Your keys. Your retention policy.
WEIGHTS
Yours to keep
Reviewed study data, interpretation rules, and tuned weights your genomics team can keep.
RELATED APPS
Same loop. Different wavelength.
GENOMICS
Bring the workflow you want to own.
We'll map the workflow. Pick the starting model. Standardize the step. Hand you the result.
↳ STARTS FROM
Nucleotide Transformer
↳ LEAVES WITH
Reviewed study data, interpretation rules, and tuned weights your genomics team can keep.