Identification of conserved evolutionary trajectories in tumors | Zendy

Ermin Hodzic | Zendy; Raunak Shrestha | Zendy; Salem Malikić | Zendy; Colin C. Collins | Zendy; Kevin Litchfield | Zendy; Samra Turajlic | Zendy; S. Cenk Şahinalp | Zendy

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Identification of conserved evolutionary trajectories in tumors

Author(s) -

Ermin Hodzic,

Raunak Shrestha,

Salem Malikić,

Colin C. Collins,

Kevin Litchfield,

Samra Turajlic,

S. Cenk Şahinalp

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa453

Subject(s) - phylogenetic tree , identification (biology) , conserved sequence , set (abstract data type) , computational biology , computer science , biology , evolutionary biology , gene , genetics , base sequence , ecology , programming language

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).

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