See the cells,
and how they connect.
From cell identity and state to spatial position, connect single-cell signals into an understanding of living systems.
Hover over the field, or choose a population.
Cell type annotation, fine subclustering, rare cell identification and cross-sample integration, locating the subpopulations worth studying further.
Start from the question you want answered.
Each question maps to several analyses in the catalogue. Select a method to see every related service.
Which cells are in the sample, and do their proportions change?
How do cells differentiate and switch states?
How do cells signal to each other?
Which transcription factors drive cell states?
How do tumour cells vary in copy number and evolve?
Where do the cells sit in the tissue?
How can several samples and datasets be compared together?
How does chromatin accessibility relate to expression?
Which subpopulations respond to a drug?
Every single-cell and spatial service
From sequencing to mechanism: 35 services in the catalogue. Select any one to start a research brief.
Sequencing
Single-cell and spatial transcriptome data. 2 services
In-depth analysis
From cell identity to dynamics and regulation. 12 services
Integration & mechanism
Across datasets, back to disease and phenotype. 21 services