Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
Description
Genome Computer allows you to transform your genetic information into a downloadable, AI-compatible .genome bundle that you can store, self-host, and analyze using tools like Genome Intelligence, Codex, Claude Code, Cursor, or others that are compatible. This open format reorganizes the standard data typically found in a VCF into a structured and queryable bundle, with variants neatly arranged in swift columnar tables alongside trait associations, facilitating research and providing insights into gene-level context, polygenic scores, pharmacogenomics, and clear data lineage. Orders for whole-genome sequencing are derived from gVCF data, ensuring that both identified variants and confidently sequenced regions where no variants exist are preserved, with FASTQ files available upon request. Additionally, VCF or TXT files from other providers can be seamlessly converted, imputed where necessary, annotated, scored, and prepared for AI analysis. With Genome Intelligence, users can pose questions based on their specific genetic information, juxtapose new research with their genotypes, and delve deeper into the field of genetics, ultimately enriching their understanding of personal health and ancestry. This capability empowers individuals to take control of their genetic data and engage with it in ways previously not possible.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Claude Code
No
Cursor
No
Evo Designer
Yes
GitHub
Yes
Hugging Face
Yes
NVIDIA BioNeMo
Yes
OpenAI Codex
No
Integrations
Claude Code
Yes
Cursor
Yes
Evo Designer
No
GitHub
No
Hugging Face
No
NVIDIA BioNeMo
No
OpenAI Codex
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$15 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Vendor Details
Company Name
Genome Computer
Country
United States
Website
genome.computer/