CopyMap: localization and calling of copy number variation by joint analysis of hybridization data from multiple individuals | Zendy

Sebastian Zöllner | Zendy

Open Access

CopyMap: localization and calling of copy number variation by joint analysis of hybridization data from multiple individuals

Author(s) -

Sebastian Zöllner

Publication year - 2010

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/btq515

Subject(s) - copy number variation , computer science , documentation , variation (astronomy) , the internet , code (set theory) , world wide web , biology , programming language , genetics , genome , gene , physics , astrophysics , set (abstract data type)

The program package CopyMap identifies copy number variation from oligo-hybridization and CGH data. Using a time-dependent hidden Markov model to combine evidence of copy number variants (CNVs) across multiple carriers, CopyMap is substantially more accurate than standard hidden Markov methods in identifying CNVs and calling CNV-carriers. Moreover, CopyMap provides more precise estimates of CNV-boundaries.

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