Workflow from Scientific Research

Schematic overview of Canvolution workflow. For the preprocessing part, mutation profiles and gene expression from single-cell RNAseq data are used as input. After generation of the evolutionary tree and calculation of the abundance of each clone, mutational signature scores and transcriptional signature scores are obtained by evaluating multiple cancer-associated signatures and metabolic pathways. With cellcell interaction information, Canvolution can also generate a ligand receptor (LR) mutation score for each clone. The evolutionary path analysis measures the correlation between the signature score and the tree depth for each path. Similarly, the clonal abundance measures the correlation between the signature score and the size of the clone.

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