HG002 30x WGS
20 min
A100 40G · Dec 7, 2025
MethodologyDecision-grade genomics infrastructure
From raw reads to evidence you can defend.
Omnis turns simulated reads, watchlists, and production-scale computational workflows into reproducible proof bundles with metrics, manifests, drift checks, and provenance your team can defend in procurement and review.
Deterministic executionForwardable proof bundlesSigned manifestsRelease verification
Best for IP teams evaluating claim drift, platform leads benchmarking GPU pipelines, and regulated groups that need release-to-release verification.
A concrete artifact package your operators, reviewers, and procurement team can forward internally without losing context.
Pipeline economics
12× lower runtime vs CPU baseline
Baseline: Nextflow + CPU pipeline. Configs, digests, and cost assumptions included.
Benchmark packEvidence contract
Deterministic signed manifests
Receipts, hashes, and replay metadata ship as inspectable artifacts.
Sample receiptEvaluation path
2-week in-silico evaluation
Bring watchlists and a deployment target; leave with an artifact-backed decision.
Start evaluationChoose your entry point
Start where the buying question is sharpest.
The site should make the next step obvious. These are the three fastest ways teams move from curiosity to a real evaluation.
Fastest path to value
Start the PatentChecker 2-week trial
Bring 1 to 3 watchlists and your deployment target. Leave with an evaluation key, starter bundle, and a clean production-key decision.
- Run in your environment
- Replayable evidence packet
- Governed upgrade path by week two
For platform and lab leads
Request a Snapshot Report
Benchmark Omnis on your own reads and get a proof bundle your team can inspect instead of a one-off demo.
- VCF + metrics + manifests
- Baseline speed and cost comparison
- Determinism receipts and rerun script
For long-horizon adoption
Explore the verified Omnis platform
Unify GPU compute, editing, and release verification on one rail when your team needs an end-to-end operating layer.
- Genome Nexus for production runs
- Helix Studio for design + simulation
- VeriBiota for drift and release checks
Proof in motion
Catch drift before it changes the decision.
Patent landscape changes are hard to review when they arrive as dense diff text. The terrain view makes movement obvious, then hands operators the exact follow-up path.
01
Compare evidence packets, not hunches
See how clusters shift between runs without manually diffing long reports or raw patent text.
02
Expose risk-threshold crossings quickly
The terrain changes when relevance and claim breadth move, so reviewers know where to focus first.
03
Hand off an actionable delta
The replay path and machine-readable outputs make the follow-up task obvious for counsel and operators.
Why this converts better
Buyers do not have to imagine the output. They can see the interaction pattern, understand the artifact shape, and decide whether it fits their workflow.
One rail, three products
Adopt the layer you need now, expand without retooling later.
Omnis is designed so evaluations can start narrow and still map cleanly into a broader platform decision.
Omnis Genome Nexus
GPU-accelerated alignment + variant calling that ships deterministic, audit-ready artifacts.
- FASTQ/BAM → VCF + proof bundle
- API + workflow wrappers
- Benchmarked on HG002
Benchmark packs, container digests, and truth-set comparisons come with the product story instead of sitting behind a sales process.
View Omnis Genome NexusHelix Studio
Genome IDE for editing, simulation, and review — built on the same GPU core.
- Design CRISPR & prime edits
- Simulate outcomes
- Hand off to OGN pipelines
VeriBiota
Verification layer that detects drift, compares releases, and emits audit-ready reports.
- Determinism checks
- Truth-set comparisons
- Machine-readable reports
Built for serious adoption
Fast benchmarks matter. Trustworthy upgrades matter more.
The platform is structured so performance gains and governance evidence ship together instead of becoming separate projects later.
01
Verification-first
If a rerun differs, it’s visible. Determinism checks and drift reports are part of the artifact contract.
02
Programmable
CLI + APIs designed for platforms: workflow wrappers, reproducible containers, and stable integration points.
03
Benchmark-driven
We publish benchmark packs with configs, digests, and cost breakdowns — not screenshots.
04
Deploy anywhere
Cloud or on-prem patterns with pinned containers, SBOMs, and a regression harness around releases.
Evidence you can browse now
The highest-converting technical sites let buyers verify the story themselves.
Benchmarks, example artifacts, and public docs should be one click away from the homepage. These links do that work.
Benchmarks
HG002 benchmark packs with configs, digests, and cost breakdowns.
Download benchmark packProof bundle
See the exact artifacts returned by OGN Snapshot Reports — VCF, metrics, hashes, and reports.
View proof bundle exampleTechnology
GPU kernels, streaming ingest, and the verification layer — explained in detail.
Read technology stackDocs
Public docs and example pipelines for integrating OGN into workflows and platforms.
Open OGN docsProof in motion
Catch drift before it changes the decision.
When sequence IP review matters, the terrain view makes movement obvious and hands operators the exact follow-up path.
01
Compare evidence packets, not hunches
See how clusters shift between runs without manually diffing long reports or raw patent text.
02
Expose risk-threshold crossings quickly
The terrain changes when relevance and claim breadth move, so reviewers know where to focus first.
03
Hand off an actionable delta
The replay path and machine-readable outputs make the follow-up task obvious for counsel and operators.
Why it matters
Reviewers can inspect the interaction pattern, understand the artifact shape, and hand off the same deterministic packet they just evaluated.
Bring one watchlist or one sample set. Leave with a decision-ready artifact.
We’ll map the evaluation path, run the benchmark or review flow, and hand back proof your team can replay internally.
1. Align sample set or watchlist2. Receive benchmark or evidence packet3. Decide from metrics, digests, and diffs