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What is SeqOne?

SeqOne is a cutting-edge genomic analysis platform that utilizes artificial intelligence to empower molecular laboratories, clinical teams, biologists, and geneticists in transforming complex next-generation sequencing data into swift, precise, and actionable clinical insights that support personalized medicine diagnostics. The platform optimizes the entire genomic workflow—ranging from managing raw sequencing data to variant interpretation and reporting—by automating repetitive tasks, seamlessly integrating with laboratory systems, and leveraging advanced AI models like DiagAI to evaluate and prioritize disease-related variants, ultimately reducing manual effort and expediting turnaround times. SeqOne's adaptability allows it to serve both germline and somatic analyses across a variety of domains, including oncology, rare inherited conditions, and infectious disease detection, while it combines top-tier annotation databases with standardized interpretation protocols to guarantee clinical-grade accuracy. Additionally, it boasts a user-friendly interface that can scale securely via the cloud, making it both accessible and efficient in various clinical settings. The platform not only enhances diagnostic processes but also paves the way for future innovations in genomic analysis technology, thereby significantly advancing the capabilities available within personalized medicine. As such, SeqOne stands as a pivotal resource that can potentially revolutionize how genomic data is utilized in clinical practice.

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.

Media

Media

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

SeqOne

Date Founded

2017

Company Location

France

Company Website

www.seqone.com

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

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