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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.

What is AlphaGenome?

AlphaGenome is an innovative API and Python toolkit crafted by Google DeepMind, specifically tailored for the realm of computational genomics. This powerful tool allows researchers to input DNA sequences or genetic variants to gain insights into various aspects such as gene expression, RNA splicing, chromatin accessibility, transcription-factor interactions, histone modifications, and genomic interactions. Additionally, it offers variant scoring and aids in the examination of genomic regions across both human and mouse datasets, enriched with tutorials and reference materials to support the development of programmatic workflows. By utilizing this resource, researchers can delve into how genetic changes impact gene regulation and effectively prioritize hypotheses for further exploration. Access is provided through a hosted API, along with a Python package for implementation on local systems, and numerous notebook examples to facilitate practical use. Although AlphaGenome proves to be a significant asset for research endeavors, it is crucial to understand that it has not undergone validation for clinical or diagnostic use, and its predictions should not be interpreted as clinical results. Furthermore, the platform fosters collaboration among scientists by creating an interactive environment that enhances data analysis, encouraging the sharing of insights and findings within the research community.

Media

Media

Integrations Supported

Python
R

Integrations Supported

Google Antigravity
Google Cloud Platform
Google Colab

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free for non-commercial research use, subject to terms. Commercial research access is in private preview; commercial and enterprise workflows are also offered through Google Cloud.
Free Version

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

CZ CELLxGENE

Company Location

United States

Company Website

cellxgene.cziscience.com

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United Kingdom

Company Website

deepmind.google/science/alphagenome/

Categories and Features

Bioinformatics

Not specified

Categories and Features

Bioinformatics

Not specified

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