摘要Cancer cell genomes originate from single-cell mutation with sequential clonal and subclonal expansion of somatic mutation acquisition during pathogenesis,thus exhibiting a Darwinian evolutionary process(Gerstung et al.,2020;Nik-Zainal et al.,2012).Through next-generation sequencing of tumor tissue,this evolutionary process can be characterized by statistical modelling,which can identify the clonal state,somatic mutation order,and evolutionary process(Gerstung et al.,2020;Mcgranahan&Swanton,2017).Inference of clonal and subclonal structure from bulk or single-cell tumor genomic sequencing data has a huge impact on studying cancer evolution.Clonal state and mutation order can provide detailed insight into tumor origin and future development.In the past decade,various methods for subclonal reconstruction using bulk tumor sequencing data have been developed.