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Dataset Information

ClonEvol: clonal ordering and visualization in cancer sequencing.


ABSTRACT:

Background

Reconstruction of clonal evolution is critical for understanding tumor progression and implementing personalized therapies. This is often done by clustering somatic variants based on their cellular prevalence estimated via bulk tumor sequencing of multiple samples. The clusters, consisting of the clonal marker variants, are then ordered based on their estimated cellular prevalence to reconstruct clonal evolution trees, a process referred to as 'clonal ordering'. However, cellular prevalence estimate is confounded by statistical variability and errors in sequencing/data analysis, and therefore inhibits accurate reconstruction of the clonal evolution. This problem is further complicated by intra- and inter-tumor heterogeneity. Furthermore, the field lacks a comprehensive v

SUBMITTER: Dang HX 

PROVIDER: S-EPMC5834020 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature