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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 Bioconductor?

The Bioconductor initiative is committed to the development and distribution of open-source software aimed at facilitating precise and reproducible analysis of biological datasets. We foster an inclusive and collaborative atmosphere for both developers and data scientists. The platform is rich in resources intended to elevate the functionality of Bioconductor. Regardless of whether you require basic tools or advanced features, our comprehensive tutorials, guides, and documentation provide essential support. Leveraging the R programming language, Bioconductor adheres to an open-source and open development framework. With its biannual releases and an active user community, it serves as a crucial asset in the domain. Moreover, Bioconductor provides Docker images with each release and offers guidance on their deployment within AnVIL. Founded in 2001, Bioconductor has become a pivotal open-source software tool widely employed in bioinformatics and biomedical research. It boasts an impressive collection of over 2,000 R packages developed by more than 1,000 contributors, resulting in over 40 million downloads each year. Additionally, Bioconductor's influence is evident, having been cited in over 60,000 scientific publications, underscoring its profound impact on research and analysis within the biological sciences. This unwavering dedication to open-source collaboration not only supports current research but also propels future innovations in the field, making it an indispensable resource for ongoing scientific exploration.

Media

Media

Integrations Supported

Docker
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
R

Integrations Supported

Docker
Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
R

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

Company Facts

Organization Name

Bioconductor

Date Founded

2001

Company Location

United States

Company Website

www.bioconductor.org

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