Single-Cell Analysis - Constellation Genomics

Single-cell analysis allows us to investigate gene expression at a cellular level. This can reveal information typically lost in bulk analysis such as rare cell types of effects of drugs only happening in a subset of cells.

What We Offer

Constellation Genomics offers analysis, interpretation, and visualisation of single-cell RNA-seq datasets from a range of platforms, including 10X genomics, Dropseq and SMART-Seq2.

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

Dimensional reduction of data (PCA, UMAP, TSNE)
Identification of cell types
Differential Expression between clusters or groups
Trajectory Analysis

More advanced analysis may also include:

Ligand Signalling
Copy number prediction