We are a Public Benefit Corporation dedicated to empowering individual self-understanding.
Get a fully annotated .genome bundleThe open, AI-ready format we developed for genome data. Yours to download, keep, and explore. for you to explore your genome with Codex, Claude Code or any tool of your choosing. gVCFUnlike the VCF files legacy providers deliver, a gVCF preserves both your genetic variants and the confidently sequenced regions between them, making your genome more useful for future analysis. and FASTQA FASTQ file contains the raw DNA sequencing data exactly as it comes off the sequencing machine. available on request.
An accessible foundation for everyday genetic intelligence that updates as new research advances. 2-3 week turnaround.
The complete foundation for lifelong genetic exploration. 2-3 week turnaround.
Ultra-deep coverage for advanced exploration, rare variant discovery, and research-grade analysis. 4-6 week turnaround.
The complete foundation for lifelong genetic exploration delivered with full privacy protectionPrivate ordering is designed so we never need to know who you are and all data linked to your order is deleted upon delivery of your .genome.. 3-4 week turnaround.
Genome Intelligence unavailable
Upload your VCF or TXT file from any sequencing provider and we'll return a fully-annotated .genome bundle ready for you to explore. Imputed where needed, VEP-annotated, PharmCAT-called, PGS-scored. .genome files use 3–10× fewer tokens and are 10–20× more accurate when interpreted by AI.
Your DNA stays private and remains in your full control.
We're a Public Benefit Corporation legally bound to never sell or license your individual genetic data. It's your data and always will be.
Library
Published April 1, 2026
University of Oxford
Check my genotypes for MEIS1 rs113851554, rs4544423 and rs182588061, plus KCNK9 rs888346. Explain the reported REM and NREM direction of effect for each variant and whether the finding relates to accelerometer-inferred sleep stages.
Published November 28, 2025
Trinity College Dublin / University of Galway
Using the 2025 vitamin D gene-environment GWAS, inspect my .genome for variants near GC, CYP2R1, PDE3B, PSMA1, COPB1, CALCB, BMAL1/ARNTL and DHCR7, including GC rs115366859 if covered. Explain whether any signal relates to vitamin D transport, synthesis, metabolism, circadian biology or UVB interaction, and summarize the lab value, season, supplement use and sun exposure context that would help interpret it.
Published September 26, 2025
King's College London / QIMR Berghofer
Using the Maxwell et al. 2025 acne GWAS, inspect my .genome for acne-associated variants or polygenic signal near RXRA, SOX9 and genes in WNT and p53 pathway annotations. Explain whether any signal is variant-level, locus-level or pathway-level, and how it relates to pilosebaceous-unit cell fate, RXRA signalling and retinoid biology.
.genome is an open file format for genome data, designed to be read and interpreted by AI systems. It uses the same underlying data as a VCF, but restructures it so models can process it reliably, with clear provenance and without relying on partial parsing or guesswork.
Under the hood it's not one flat file but a structured, queryable bundle (format version .genome/1.0). Your variants are stored in fast columnar tables alongside the annotations that give them meaning — trait associations, the supporting research behind them, gene-level context, polygenic scores, and pharmacogenomics — so a tool can answer questions against your whole genome directly.
A whole-genome sequence fills it out completely (~4.3M variants); uploads from array-based tests like 23andMe or Ancestry come in smaller (~600k). Either way, it's a single portable file that travels with you.
Compared to raw VCF files, .genome reduces token usage by 3–10× while reducing factual errors by 10–20×.
Raw sequencing providers usually deliver technical files — FASTQ, BAM/CRAM, VCF, or a static report. Those files are valuable, but they're hard to inspect, hard to keep updated, and not designed for AI tools to reason over directly.
Most providers tell you what variants you have. Genome Computer tells you what you have and what it means: variants, annotations, trait evidence, pharmacogenomics, polygenic scores, provenance, and prompts in one portable format you can use with Codex, Claude Code, or any tool of your choosing.
For sequencing orders, we build from a gVCF instead of only a consumer-style VCF. A VCF mostly lists the places where you differ from the reference genome. A gVCF also preserves the confidently sequenced regions where no variant was found, which helps distinguish "no variant here" from "we do not know because this position was not confidently covered."
The difference is that you're not just receiving raw output from a sequencer. You're receiving an AI-readable genome you can keep, query, re-annotate, and explore as the science changes.
A .genome file is a portable, AI-readable container for your genetic data. The point is that it travels with you and works inside any tool that can read a file, so you're not locked into one platform's interface.
Concretely, you can:
All three are true whole-genome sequencing — they read your entire genome, not a fixed chip of ~650K sites like an array. The "x" is depth: how many times, on average, each position in your genome gets read. More depth = more confidence, especially on rare variants.
3x — reads your whole genome lightly. Confident on the common-variant layer that powers your identity, polygenic scores, ancestry, and trait insights — and already far beyond any array. It can see rarer variants but not yet call them with clinical confidence. A real entry into whole-genome.
30x — the clinical-grade standard. Enough depth to confidently call rare and pathogenic variants: carrier status, actionable ClinVar findings, full pharmacogenomics. This is "your real genome" with no imputation caveats — the sweet spot for almost everyone.
100x — research-grade, maximum confidence. Diminishing returns for everyday genomics, but it pulls ahead on the hardest cases: low-frequency and mosaic variants, structural variation, and difficult-to-read regions. The deepest, most future-proof read.
Whichever depth you choose, it converts into the same .genome bundle — same format, same tools. The difference is how much of your genome answers with confidence: 3x lights up your identity and trait layer; 30x adds the full clinical and pharmacogenomic layer; 100x maxes out certainty on the rarest signals.
Private orders are designed so Genome Computer never needs to know your identity.
We do not create a customer account or require a permanent email address. Instead, your order is identified only by a Genome ID and Access Code generated at checkout.
Any information temporarily required to process payment or fulfil your order is used only for that purpose.
