A comparison study: applying segmentation to array CGH data for downstream analyses | Zendy

Hanni Willenbrock | Zendy; Jane Fridlyand | Zendy

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A comparison study: applying segmentation to array CGH data for downstream analyses

Author(s) -

Hanni Willenbrock,

Jane Fridlyand

Publication year - 2005

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/bti677

Subject(s) - bioconductor , comparative genomic hybridization , segmentation , copy number analysis , copy number variation , genome , downstream (manufacturing) , computer science , identification (biology) , data set , computational biology , set (abstract data type) , data mining , biology , artificial intelligence , genetics , gene , operations management , botany , economics , programming language

Array comparative genomic hybridization (CGH) allows detection and mapping of copy number of DNA segments. A challenge is to make inferences about the copy number structure of the genome. Several statistical methods have been proposed to determine genomic segments with different copy number levels. However, to date, no comprehensive comparison of various characteristics of these methods exists. Moreover, the segmentation results have not been utilized in downstream analyses.

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