PhyClone

PhyClone reconstructs cancer phylogenies from bulk sequencing data using a probabilistic Bayesian model.

Key Features:

• Probabilistic phylogeny inference: PhyClone infers clonal phylogenies from bulk-sequencing data using a probabilistic model.
• Accuracy and scalability: PhyClone outperforms previous methods in terms of accuracy and sample scalability.

Scientific Applications:

• Cancer clonal composition analysis: PhyClone identifies the clonal composition of tumours and infers the genetic relationships between clones from bulk DNA sequencing data.
• Cancer phylogeny reconstruction: PhyClone reconstructs evolutionary relationships between genomically distinct sub-populations of cells called clones in cancer.

Methodology:

PhyClone uses a Bayesian probabilistic model to infer clonal phylogenies from bulk-sequencing data.