Identification of conserved evolutionary trajectories in tumors.

ABSTRACT:

Motivation

As multi-region, time-series and single-cell sequencing data become more widely available; it is becoming clear that certain tumors share evolutionary characteristics with others. In the last few years, several computational methods have been developed with the goal of inferring the subclonal composition and evolutionary history of tumors from tumor biopsy sequencing data. However, the phylogenetic trees that they report differ significantly between tumors (even those with similar characteristics).

Results

In this article, we present a novel combinatorial optimization method, CONETT, for detection of recurrent tumor evolution trajectories. Our method constructs a consensus tree of conserved evolutionary trajectories based on the information about temporal order of

SUBMITTER: Hodzic E 

PROVIDER: S-EPMC7355238 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature