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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?

AlphaGenome is an innovative API and Python toolkit crafted by Google DeepMind, specifically tailored for the realm of computational genomics. This powerful tool allows researchers to input DNA sequences or genetic variants to gain insights into various aspects such as gene expression, RNA splicing, chromatin accessibility, transcription-factor interactions, histone modifications, and genomic interactions. Additionally, it offers variant scoring and aids in the examination of genomic regions across both human and mouse datasets, enriched with tutorials and reference materials to support the development of programmatic workflows. By utilizing this resource, researchers can delve into how genetic changes impact gene regulation and effectively prioritize hypotheses for further exploration. Access is provided through a hosted API, along with a Python package for implementation on local systems, and numerous notebook examples to facilitate practical use. Although AlphaGenome proves to be a significant asset for research endeavors, it is crucial to understand that it has not undergone validation for clinical or diagnostic use, and its predictions should not be interpreted as clinical results. Furthermore, the platform fosters collaboration among scientists by creating an interactive environment that enhances data analysis, encouraging the sharing of insights and findings within the research community.

Media

Media

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations Supported

Google Antigravity
Google Cloud Platform
Google Colab

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free for non-commercial research use, subject to terms. Commercial research access is in private preview; commercial and enterprise workflows are also offered through Google Cloud.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

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

Bioinformatics

Not specified

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