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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.

What is AlphaGenome 2?

AlphaGenome 2 represents a cutting-edge AI research platform designed to investigate how DNA sequences influence gene regulation and related molecular processes. By entering specific DNA sequences, the framework can predict various molecular traits, thus aiding scientists in their exploration of gene expression patterns, regulatory functions, splicing, chromatin accessibility, and other genomic factors. Tailored for researchers aiming to unravel gene functionalities, the consequences of genetic variations, and disease biology, it serves both academic institutions and noncommercial research organizations. The platform is conveniently accessible through an online API, which offers developer tools that streamline the sequence submission process and facilitate the retrieval of predictions that are essential for computational studies. This empowers researchers to effectively prioritize their hypotheses and shape their upcoming experimental designs. It is essential to highlight that AlphaGenome 2 is exclusively intended for research purposes and has not been validated or authorized for any clinical or diagnostic applications, emphasizing the need for users to understand its intended use and limitations. This focus on research underscores the necessity of responsible practices in scientific exploration, ensuring that users remain cognizant of the framework's capabilities and constraints. Researchers utilizing this tool can significantly enhance their understanding of complex genomic interactions.

Media

Media

No images available

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

The AlphaGenome API is free of charge for noncommercial use. Commercial research access is in private preview.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United Kingdom

Company Website

deepmind.google/science/alphagenome/

Categories and Features

AI Models

Not specified

AI Science

Not specified

Bioinformatics

Not specified

Foundation Models

Not specified

Molecular Modeling

Not specified

Categories and Features

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