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Description

Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.

Description

System Composer™ facilitates the detailed specification and evaluation of architectures within the realm of model-based systems engineering and software architecture modeling. By utilizing System Composer, users can effectively allocate requirements while enhancing an architecture model, which can subsequently be designed and tested in Simulink®. Users have the flexibility to create architecture models composed of components and interfaces either from scratch, by importing from other tools, or by leveraging the architectural elements already present in Simulink designs. Furthermore, it allows for the representation of a system through various architecture models, enabling the establishment of direct connections between them through model-to-model allocations. Behavioral aspects can be documented using sequence diagrams, state charts, or Simulink models, providing a comprehensive overview of system dynamics. Additionally, you can specify and simulate the order of execution for component functions, and even generate code from your software architecture models utilizing tools like Simulink and Embedded Coder®. This seamless integration ensures a robust framework for developing complex systems efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Integrations

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$740 per year
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Arc Institute

Country

United States

Website

arcinstitute.org/tools/evo

Vendor Details

Company Name

MathWorks

Founded

1984

Country

United States

Website

www.mathworks.com/products/system-composer.html

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