Total number of cells:

103,433,402
+
HumanDatabase

Our database offers seamless access to structured biological insights for research and innovation.

  • 56
  • 102,203,674
  • 17

Single-cell Transcriptomics Curation Pipeline

Simplify, standardize, and streamline your data—our curation pipeline ensures accuracy, consistency, and seamless integration for your research

Top layerLayer 2Layer 3Layer 4Layer 5Bottom layer
    1. 1

      Indexing

      • Download available data
      • Run preprocessing pipeline
    2. 2

      Metadata Curation

      • Add metadata and make sure they are accurately assigned
    3. 3

      Cell Type Curation

      • Assign cell types following the author's annotation
      • Ensure that cell types express recognized markers
    4. 4

      1st QC

      • Meticulously curate data from different resources: SRA, supplementary files, published code on GitHub, ...
      • Contact the authors in case of missing data
    5. 5

      2nd QC

      • Independently examine the study from top to bottom
      • Ensure that findings from the study are consistent
    6. 6

      Standardization

      • Map metadata and cell types to standardized ontologies
    ;

Spatial Transcriptomics Curation Pipeline

Standardize, annotate, and streamline your spatial data—ensuring accuracy, consistency, and seamless integration for your research

Spatial curation
    1. 1

      Cell Segmentation

      • Segment cells from H&E, IF images using state-of-the-art algorithm
    2. 2

      Cell Type annotation

      • Annotate cell type using omics & imaging information
    3. 3

      Region Segmentation & Annotation

      • Segment & annotate the spatial slides using AI & pathologists
    4. 4

      Quality Control

      • Meticulously curate data from different resources. Contact the authors in case of missing data
    5. 5

      Standardization

      • Map metadata and cell types to standardized ontologies
    ;
Human Database

Standardized Ontologies

Unifying data with structured, standardized ontologies—ensuring consistency, accuracy, and seamless integration for advanced analysis

BioTuring's in-house ontologies
Gender
Assay
Quantification
Suspension type
Treatment status
Response to treatment

BiologicalSummaries

Comprehensive biological insights for deeper understanding and groundbreaking discoveries

Cells
305,495,307
Datasets
3,366
Treatment
466
Tissues
721
Conditions
842
Cell Types
1,028

Multi-modalities

Spatial proteomics

100M+ cells of spatial proteomics data from Akoya phenocyler and more.

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