Transcriptomics & spatial biology
Connect molecular states with their location and neighbourhoods in tissue.
Analyses are tailored to your experimental design, data quality and research question. The workflow and deliverables are agreed following project review.
Analysis modules
Spatial assay quality control and coordinate validation.
Spatial gene and cell-state mapping.
Cell-type mapping or spot deconvolution.
Neighbourhood enrichment and co-localization.
Spatially variable genes and compartment comparisons.
Integration with a compatible single-cell reference.
Spatially constrained interaction hypotheses.
Data and metadata
Expression matrices, spatial coordinates and segmentation/platform outputs; tissue image and single-cell reference where needed.
Proposed deliverables
Tissue maps; spatial statistics; cell-type or spot profiles; interpretable region comparisons.
Interpretation and feasibility
Spot-level estimates are not automatically single-cell measurements. The coordinate system, segmentation and platform resolution determine valid analyses.
Methods and references
Methods, reference resources and software are selected for each project after protocol, feasibility and licence review. Applicable versions, references and interpretation limits are documented in the agreed workflow.