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Understanding the clonal architecture and evolutionary history of a tumour poses one of the key challenges to overcome treatment failure due to resistant cell populations. Previously, studies on subclonal tumour evolution have been primarily based on bulk sequencing and in some recent cases on single-cell sequencing data. Either data type alone has shortcomings with regard to this task, but methods integrating both data types have been lacking. Here, we present B-SCITE, the first computationaldoi:10.1038/s41467-019-10737-5 pmid:31227714 pmcid:PMC6588593 fatcat:z54irlrrprh5dfkicnodblhgsy