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
This complimentary software provides remarkable visual representations of your genomic information, allowing you to examine the specific activities at each base pair within your samples. GenomeBrowse operates as a native application on your desktop, eliminating the need to compromise on speed and quality while enjoying a consistent experience across different platforms. Designed with performance as a priority, it offers a quicker and more seamless browsing experience compared to any other genome browser on the market. Furthermore, GenomeBrowse is seamlessly integrated into the advanced Golden Helix VarSeq platform for variant annotation and interpretation. If you appreciate the visualization capabilities of GenomeBrowse, consider exploring VarSeq for tasks like filtering, annotating, and analyzing your data before leveraging the same interface for visualization. The software is capable of showcasing all your alignment data, and having the ability to view all your samples simultaneously can assist in identifying contextually significant findings. This makes it an invaluable tool for researchers seeking to gain deeper insights from their genomic data.
API Access
Has API
No
API Access
Has API
No
Integrations
Evo Designer
Yes
GitHub
Yes
Hugging Face
Yes
NVIDIA BioNeMo
Yes
VSClinical
No
VarSeq
No
Integrations
Evo Designer
No
GitHub
No
Hugging Face
No
NVIDIA BioNeMo
No
VSClinical
Yes
VarSeq
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Vendor Details
Company Name
Golden Helix
Founded
1998
Country
United States
Website
www.goldenhelix.com/products/GenomeBrowse/