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Genomics

Whole-genome interpretation at clinical scale.

Genomics ingests sequencing data and runs secondary and tertiary analysis, variant annotation, ACMG classification, and clinician curation through a review-and-release workflow built for hospital-laboratory scale.

100–1,000
genomes / day target
Open
source stack
ACMG
classification workflow
In the workspace

A genome on
its way to sign-out.

Screens from the clinical workspace as a case moves toward a report.

Genomics — Genomics / report

A review-and-release workflow carries a case from analyst to administrator to reviewer.

Genomics — Genomics / cases

The clinical case queue — triaged by priority, status, and turnaround.

Sequence to sign-out

From raw reads
to a signed report.

Each capability moves a genome one step closer to a decision a clinician will put their name on.

01

Built for lab scale

The pipeline is designed for sustained whole-genome throughput without per-seat licensing.

02

Evidence-driven curation

Automated disposition focuses reviewers on the variants that require expert judgment.

03

Hospital interoperability

FHIR R4, HL7, and laboratory integration keep results connected to clinical operations.

04

Review and release

Structured analyst, administrator, and reviewer stages carry a case to a signed report.

Under the hood

The stack.

The tools and languages Genomics is built on.

RustReactNextflowPostgresDocker
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