Spatial Analysis

Spatial transcriptomics and proteomics has been a rapidly expanding area in recent years. We have rapidly progressed from being able to measure one or two genes in a tissue to being able to assay the entire transcriptome at single-cell resolution. However, access to bioinformatic support is one of the key issues facing the field. Constellation Genomics are leaders in the field for analysis of spatial datasets, with experience in most spatial platforms, including GeoMx DSP, SlideSeq/Curio Seeker, Visium

What We Offer

Constellation Genomics offers analysis, interpretation, and visualisation of spatial datasets from a range of platforms, including Nanostring GeoMx DSP, SlideSeq/Curio Seeker and 10X Visium.

Every dataset is different, but some of the main methods we use include:

• Dimensional reduction of data (PCA, UMAP, TSNE).
• Differential Expression between regions or groups.
• Gene set enrichment of differentially expressed genes.
• Spatial Deconvolution of cell types.
• Clustering of samples.

More advanced analysis may also include:

• Ligand Signalling.
• Copy number prediction.