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Principled computational approaches for tumor phylogeny reconstruction via single-cell sequencing typically aim to build the most likely perfect phylogeny tree from the noisy genotype matrix - which represents genotype calls of single cells. This problem is NP-hard, and as a result, existing approaches aim to solve relatively small instances of it through combinatorial optimization techniques or Bayesian inference. As expected, even when the goal is to infer basic topological features of thedoi:10.1016/j.isci.2020.101655 pmid:33117968 pmcid:PMC7582044 fatcat:r3vj6gwdvzdw7jtynf4zqb3ct4