Evo 2

Evo 2

Arc Institute
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+

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About

Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.

About

Nygen is a cloud-based single-cell RNA-seq (scRNA-seq) and multi-omics data analysis and discovery platform designed to let researchers upload, explore, visualize, analyze and interpret complex cellular datasets with an intuitive, no-code interface that supports drag-and-drop workflows and advanced scientific analysis without requiring programming expertise; it combines Nygen Analytics for rapid, reproducible scRNA-seq exploration with collaborative dashboards and publication-ready outputs, Nygen Database for accessing and hosting curated single-cell datasets to accelerate research and comparative studies, and Nygen Insights, an AI-augmented tool that delivers highly accurate cell annotations, in-depth disease impact analysis and tailored biological insights; it supports a wide range of data formats, integrates public data, enables secure cloud-based collaboration, and provides features like literature-linked evidence and biomarker-focused analyses.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Computational biologists and genetic engineers in need of a tool to model and design biological sequences across multiple modalities, enhancing research in genomics and synthetic biology

Audience

Science researchers, biologists, bioinformaticians, and biotech teams interested in a data analytics platform that doesn’t require coding and accelerates biological discovery

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

Arc Institute
United States
arcinstitute.org/tools/evo

Company Information

Nygen
Founded: 2022
Sweeden
www.nygen.io

Alternatives

Alternatives

OmnibusX

OmnibusX

OmnibusX Company Limited
Evo Designer

Evo Designer

Arc Institute
ESMC

ESMC

Biohub
Cellenics

Cellenics

Biomage

Categories

AI Models Supported
AI Science Supported
Bioinformatics Supported
Foundation Models Supported
Molecular Modeling Supported

Categories

Bioinformatics Supported
Life Sciences Supported
Molecular Modeling Supported

Integrations

Evo Designer Supported
GitHub Supported
Hugging Face Supported
NVIDIA BioNeMo Supported

Integrations

Evo Designer Not Supported
GitHub Not Supported
Hugging Face Not Supported
NVIDIA BioNeMo Not Supported
Claim Evo 2 and update features and information
Claim Evo 2 and update features and information
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Claim Nygen and update features and information