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An analytics hub for public single-cell and spatial data, built upon a comprehensive database, providing an innovative approach for in-depth research at a large scale.

Single-cell and Spatial Omics Analytics Hub

Data types
  • Single-cell transcriptomics
  • Tissue-level spatial transcriptomics
  • Single-cell spatial transcriptomics
  • Spatial proteomics
Highlights
  • Single-study analysis
  • Cross-study analysis
  • Custom cell atlas
Built upon the Extensive Curated Single-cell and Spatial Database Browse Database
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120M+ RNA-seq Single cells
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20M+ Single-cell Spatial Transcriptomics cells
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100M+ Spatial Proteomics cells
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1800 Bulk Spatial Transcriptomics slices
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Genes Search
Explore the expression of genes across the whole BioTuring database
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We are proud to serve scientists worldwide

3,000+
Scientists
70+
Companies
150+
Institutions
10+
Countries
author-avatar

Di Zhao,

Assistant Professor. UT MD Anderson Cancer Center

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Daisuke Komura,

Assistant Professor, The University of Tokyo

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Motoko Kimura,

Professor, Chiba University

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Jonathan Yap PhD.,

Postdoctoral Fellow University of Hawaii, John A. Burns School of Medicine

Ryan Lingerak,

PhD Candidate CWRU, Bingcheng Wang Lab

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Di Zhao,

Assistant Professor. UT MD Anderson Cancer Center

author-avatar

Daisuke Komura,

Assistant Professor, The University of Tokyo

author-avatar

Motoko Kimura,

Professor, Chiba University

author-avatar

Jonathan Yap PhD.,

Postdoctoral Fellow University of Hawaii, John A. Burns School of Medicine

Ryan Lingerak,

PhD Candidate CWRU, Bingcheng Wang Lab