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What is Genome Computer?

Genome Computer enables the conversion of your genetic data into a downloadable, AI-friendly .genome bundle that can be stored, self-hosted, and analyzed with various compatible tools such as Genome Intelligence, Codex, Claude Code, and Cursor. This innovative open format reconfigures the conventional data usually found in a VCF into an organized and query-friendly bundle, presenting variants in efficient columnar tables alongside trait associations, which enhances research opportunities and provides valuable insights into gene-level context, polygenic scores, pharmacogenomics, and comprehensive data lineage. Whole-genome sequencing orders are generated from gVCF data, ensuring that both detected variants and confidently sequenced areas without variants are retained, with FASTQ files accessible upon request. Furthermore, VCF or TXT files from alternative providers can be easily converted, imputed where necessary, annotated, scored, and readied for AI-driven analysis. Users of Genome Intelligence are empowered to ask queries related to their unique genetic information, compare emerging research with their genotypes, and explore the intricate realm of genetics, which ultimately deepens their understanding of personal health and ancestry. This pioneering technology equips individuals with unprecedented control over their genetic information, allowing for a more engaged and informed approach to their genetic data, thus opening new avenues for personalized health insights and genetic exploration.

What is Evo 2?

Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.

Media

Media

Integrations Supported

Claude Code
Cursor
OpenAI Codex

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

API Availability

Has API

API Availability

Pricing Information

$15 per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Genome Computer

Company Location

United States

Company Website

genome.computer/

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

Categories and Features

AI Science

Not specified

Categories and Features

AI Models

Not specified

AI Science

Not specified

Bioinformatics

Not specified

Foundation Models

Not specified

Molecular Modeling

Not specified

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