Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Uncover biological markers, generate insights into the mechanisms of disease, identify novel pharmaceuticals, or detect variations in protein concentrations through a meticulously structured series of experiments. We have simplified the process of harnessing the potential of mass spectrometry and proteomics, enabling you to concentrate on the intricacies of biology and advance toward groundbreaking discoveries. Our automated and consistent workflow facilitates faster initiation and completion of experiments, granting you the authority and adaptability to make timely decisions. By prioritizing biological insights and fostering collaborative efforts, our scalable proteomics data processing system is designed for repeated use. We have delegated intensive and repetitive tasks to the cloud, ensuring a smooth and satisfying experience. Our sophisticated proteomics workflow effectively integrates numerous complex elements, allowing for the efficient analysis and processing of larger-scale experiments, ultimately enhancing the research journey. Thus, with our innovative approach, researchers can now delve deeper into the molecular landscape and achieve more significant breakthroughs than ever before.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Buildkite
No
Evo Designer
Yes
GitHub
Yes
Hugging Face
Yes
NVIDIA BioNeMo
Yes
Slack
No
Integrations
Amazon Web Services (AWS)
Yes
Buildkite
Yes
Evo Designer
No
GitHub
No
Hugging Face
No
NVIDIA BioNeMo
No
Slack
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Vendor Details
Company Name
Mass Dynamics
Country
Australia
Website
www.massdynamics.com/discovery