Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RealEstateAPI (REAPI) Reviews & Ratings
    25 Ratings
    Company Website
  • RunPod Reviews & Ratings
    116 Ratings
    Company Website
  • Kantata Reviews & Ratings
    2,231 Ratings
    Company Website
  • Coursebox AI Reviews & Ratings
    48 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • The Asset Guardian EAM (TAG) Reviews & Ratings
    21 Ratings
    Company Website
  • Dynatrace Reviews & Ratings
    3,220 Ratings
  • Cody Reviews & Ratings
    86 Ratings
    Company Website
  • Concrete CMS Reviews & Ratings
    284 Ratings
    Company Website
  • Predict360 Reviews & Ratings
    18 Ratings
    Company Website

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.

What is CZ CELLxGENE Discover?

Select two customized cell groups by leveraging metadata to identify their most distinctly expressed genes. Use the vast repository of millions of cells from the integrated CZ CELLxGENE database for comprehensive analysis. Engage in dynamic examinations of datasets to explore how gene expression patterns are shaped by spatial, environmental, and genetic factors through an intuitive no-code interface. This approach allows researchers to gain insights into existing datasets or utilize them as a springboard to uncover novel cell subtypes and states. Census enables access to any tailored segment of standardized cell data within the CZ CELLxGENE, with options for exploration in both R and Python environments. Immerse yourself in an interactive encyclopedia that features over 700 cell types, complete with detailed definitions, marker genes, lineage details, and related datasets all accessible in a single platform. In addition, researchers can browse and acquire an extensive array of standardized data collections, alongside more than 1,000 datasets that illuminate the functions of both healthy mouse and human tissues, significantly enhancing the study of cellular biology. This resource serves as an invaluable tool for scientists striving to deepen their understanding of cellular dynamics and gene expression, ultimately driving innovation in the field. Furthermore, the user-friendly interface promotes collaborative efforts among researchers, fostering a community of shared knowledge and discoveries.

Media

Media

Integrations Supported

BioNeMo
Evo Designer
GitHub
Hugging Face
Python
R

Integrations Supported

BioNeMo
Evo Designer
GitHub
Hugging Face
Python
R

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

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

Company Facts

Organization Name

CZ CELLxGENE

Company Location

United States

Company Website

cellxgene.cziscience.com

Categories and Features

Popular Alternatives

Evo Designer Reviews & Ratings

Evo Designer

Arc Institute

Popular Alternatives

GenomeStudio Reviews & Ratings

GenomeStudio

Illumina
HyperProtein Reviews & Ratings

HyperProtein

Hypercube
Loupe Browser Reviews & Ratings

Loupe Browser

10x Genomics