Cell type annotation of clusters
  • Assign cell types to cluster-specific gene lists from scRNA-seq data. CellKb uses a rank-based method to identify the cell type marker gene sets matching the users gene list.
  • Find matching cell type signatures and canonical markers published in literature.
  • Advanced search features allow filtering by cell types, tissues, diseases and publications.
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    Single-cell annotation
  • Perform cell type annotation for individual cells in scRNA-seq datasets. Given the raw gene expression values, CellKb assigns a cell type to each cell with a cell type score without the need for data clustering.
  • Identify broad and granular cell types.
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    Spot deconvolution
  • Use the large cell type reference dataset in CellKb for cell type deconvolution in spatial RNA-seq data.
  • Upload spatial RNA-seq data to CellKb to get a cell type assignment for each spot. CellKb calculates a match score for up to 3 cell types per spot.
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    Contact us for a trial to the scRNA-seq and spatial RNA-seq data annotation service in CellKb.

    Biomarker discovery
    Since CellKb calculates consensus signatures for all cell types across all tissues and conditions in which they are found, it can be used to compare cell type markers between diseases or tissues to identify biomarkers that are common or unique to each condition.
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