Collaborative intra-tumor heterogeneity detection

2019 Bioinformatics  
Despite the remarkable advances in sequencing and computational techniques, noise in the data and complexity of the underlying biological mechanisms render deconvolution of the phylogenetic relationships between cancer mutations difficult. Besides that, the majority of the existing datasets consist of bulk sequencing data of single tumor sample of an individual. Accurate inference of the phylogenetic order of mutations is particularly challenging in these cases and the existing methods are
more » ... with several theoretical limitations. To overcome these limitations, new methods are required for integrating and harnessing the full potential of the existing data.
doi:10.1093/bioinformatics/btz355 pmid:31510674 pmcid:PMC6612880 fatcat:kgivksnfwna5tmtnznjncr3unq