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Abstract
Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and disease at the level of single cells. Meta-analyses that span diverse datasets building on recent advances in large language models and other machine-learning approaches pose exciting new directions to model and extract insight from single-cell data. Despite the promise of these and emerging analytical tools for analyzing large amounts of data, the sheer number of datasets, data models and accessibility remains a challenge. Here, we present CZ CELLxGENE Discover (cellxgene.cziscience.com), a data platform that provides curated and interoperable single-cell data. Available via a free-to-use online data portal, CZ CELLxGENE hosts a growing corpus of community-contributed data of over 93 million unique cells. Curated, standardized and associated with consistent cell-level metadata, this collection of single-cell transcriptomic data is the largest of its kind and growing rapidly via community contributions. A suite of tools and features enables accessibility and reusability of the data via both computational and visual interfaces to allow researchers to explore individual datasets, perform cross-corpus analysis, and run meta-analyses of tens of millions of cells across studies and tissues at the resolution of single cells.
Academic Publication CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data
Research Abstract & Technology Focus
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CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data
Abstract Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opp...
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Frequently Asked Questions (FAQ)
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What is the core focus of the research titled 'CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data'?
This literature focuses on: Abstract Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and di...
Are there open-source GitHub repositories related to CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data?
Yes, open-source projects like phuryn/pm-skills (PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.) are actively building upon these concepts.
Which startups are commercializing the technology behind CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data?
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What other academic literature is closely related to 'CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data'?
Yes, highly correlated activity was mapped. An entry titled 'CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data' discusses this: Abstract Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowle...
Are there commercial applications of 'CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data' in market news publications?
Yes, highly correlated activity was mapped. An entry titled 'Scientific-discovery' discusses this: A clear trend emerges in enhanced data discovery, from building "massive open-access genomic database[s]" for vanishing species to "Matadisco's" de...
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