Skip to main content
Fig. 5 | BMC Bioinformatics

Fig. 5

From: Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data

Fig. 5

a. Multi-region sequencing data for a MSI-high colorectal cancer from [40], with three regions of the primary cancer: p3-1, p3-2 and p3-3, and two of one metastasis: L-1 and L-2. To use this data with TRaIT we merge mutations occur in the same samples, obtaining a clonal group of 34 mutations and a sublclonal group. b. The model obtained by Edmonds including confidence measures, and the overlap in the predicted ordering obtained by SCITE, Chow-Liu, Gabow and Prim (Additional file 1: Figure S21). All edges, in all models, are statistically significant for conditions (Eq. 1). Four of the predicted ordering relations are consistently found across all TRaIT’s algorithm, which gives a high-confidence explanation for the formation of the L2 metastasis. This finding is also in agreement with predictions by SCITE (Additional file 1: Figure S22)

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us