MIPUP: minimum perfect unmixed phylogenies for multi-sampled tumors via branchings and ILP | Zendy

Edin Husić | Zendy; Xinyue Li | Zendy; Ademir Hujdurović | Zendy; Miika Mehine | Zendy; Roméo Rizzi | Zendy; Veli Mäkinen | Zendy; Martin Milanič | Zendy; Alexandru I. Tomescu | Zendy

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MIPUP: minimum perfect unmixed phylogenies for multi-sampled tumors via branchings and ILP

Author(s) -

Edin Husić,

Xinyue Li,

Ademir Hujdurović,

Miika Mehine,

Roméo Rizzi,

Veli Mäkinen,

Martin Milanič,

Alexandru I. Tomescu

Publication year - 2018

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/bty683

Subject(s) - phylogenetics , computer science , metric (unit) , integer programming , most recent common ancestor , biology , integer (computer science) , descendant , computational biology , phylogenetic tree , algorithm , genetics , programming language , gene , operations management , economics , physics , astronomy

Discovering the evolution of a tumor may help identify driver mutations and provide a more comprehensive view on the history of the tumor. Recent studies have tackled this problem using multiple samples sequenced from a tumor, and due to clinical implications, this has attracted great interest. However, such samples usually mix several distinct tumor subclones, which confounds the discovery of the tumor phylogeny.

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