tHapMix: simulating tumour samples through haplotype mixtures | Zendy

Sergii Ivakhno | Zendy; Camilla Colombo | Zendy; Stephen Tanner | Zendy; Philip Tedder | Zendy; Stefano Berri | Zendy; Anthony J. Cox | Zendy

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tHapMix: simulating tumour samples through haplotype mixtures

Author(s) -

Sergii Ivakhno,

Camilla Colombo,

Stephen Tanner,

Philip Tedder,

Stefano Berri,

Anthony J. Cox

Publication year - 2016

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/btw589

Subject(s) - scalability , computer science , genome , mit license , somatic cell , set (abstract data type) , computational biology , haplotype , noise (video) , license , data mining , biology , genetics , artificial intelligence , gene , database , operating system , programming language , genotype , image (mathematics)

Large-scale rearrangements and copy number changes combined with different modes of clonal evolution create extensive somatic genome diversity, making it difficult to develop versatile and scalable variant calling tools and create well-calibrated benchmarks.

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