Evo 2

Evo 2

Arc Institute
QIAGEN CLC Genomics Workbench

QIAGEN CLC Genomics Workbench

QIAGEN Digital Insights
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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

QIAGEN CLC Genomics Workbench is a powerful solution that works for everyone, no matter the workflow. Cutting-edge technology and unique features and algorithms widely used by scientific leaders in industry and academia make it easy to overcome challenges associated with data analysis. User-friendly bioinformatics software solutions allow for comprehensive analysis of your NGS data, including de novo assembly of whole genomes and transcriptomes, resequencing analysis (WGS, WES and targeted panel support), variant calling, RNA-seq, ChIP-seq and DNA methylation (bisulfite sequencing analysis). Analyze your RNA-seq and small RNA (miRNA, lncRNA) data with easy-to-use transcriptomics workflows for differential expression analysis at gene and transcript levels. QIAGEN CLC Genomics Workbench is developed to support a wide range of NGS bioinformatics applications.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Organizations searching for a NGS data analysis platform for any species, platform and workflow

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Arc Institute
United States
arcinstitute.org/tools/evo

Company Information

QIAGEN Digital Insights
Founded: 2014
qiagen.com

Alternatives

Evo Designer

Evo Designer

Arc Institute

Alternatives

OmicsBox

OmicsBox

BioBam Bioinformatics S.L.
HyperProtein

HyperProtein

Hypercube
VarSeq

VarSeq

Golden Helix

Categories

Categories

Integrations

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo
Claim Evo 2 and update features and information
Claim Evo 2 and update features and information
Claim QIAGEN CLC Genomics Workbench and update features and information
Claim QIAGEN CLC Genomics Workbench and update features and information