A method for finding consensus breakpoints in the cancer genome from copy number data | Zendy

Laura Toloşi | Zendy; Jessica Theißen | Zendy; Konstantin Halachev | Zendy; Barbara Hero | Zendy; Frank Berthold | Zendy; Thomas Lengauer | Zendy

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A method for finding consensus breakpoints in the cancer genome from copy number data

Author(s) -

Laura Toloşi,

Jessica Theißen,

Konstantin Halachev,

Barbara Hero,

Frank Berthold,

Thomas Lengauer

Publication year - 2013

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/btt300

Subject(s) - breakpoint , genome , computational biology , computer science , genetics , gene dosage , biology , gene , chromosomal translocation , gene expression

Recurrent DNA breakpoints in cancer genomes indicate the presence of critical functional elements for tumor development. Identifying them can help determine new therapeutic targets. High-dimensional DNA microarray experiments like arrayCGH afford the identification of DNA copy number breakpoints with high precision, offering a solid basis for computational estimation of recurrent breakpoint locations.

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