Largest reference database of manually curated cell type gene signatures in human, mouse and other model organisms.

Provides cell type annotation for single-cell, spatial and bulk RNA-seq datasets by comparing cell/cluster-specific genes with cell type specific gene signatures published in literature.

Predicts granular and broad cell type annotations with prediction scores and statistical significance.

Regularly updated (three times a year).

Use our curated reference database, CellKb, to identify public datasets that fit your criteria

Preprocessing and integration of single-cell data from multiple publications to remove batch effects and technical artefacts

Assigning standardized ontologies for tissue and disease

Annotating cell types using CellKb to create a reliable, high-quality custom resource

Designing a scalable, optimized database of storage and rapid retrieval of large amounts of data.

Developing a web application for data analysis and visualization.

Working with our expert team of bioinformaticians, data curators and software engineers.

Continued support after project completion.