Journal article
QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data
- Abstract:
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Array-based technologies have been used to detect chromosomal copy number changes (aneuploidies) in the human genome. Recent studies identified numerous copy number variants (CNV) and some are common polymorphisms that may contribute to disease susceptibility. We developed, and experimentally validated, a novel computational framework (QuantiSNP) for detecting regions of copy number variation from BeadArray™ SNP genotyping data using an Objective Bayes Hidden-Markov Model (OB-HMM). Objective ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.1MB)
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(Version of record, zip, 1.0MB)
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- Publisher copy:
- 10.1093/nar/gkm076
Authors
Funding
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Yau, C
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Nucleic Acids Research Journal website
- Volume:
- 35
- Issue:
- 6
- Pages:
- 2013-2025
- Publication date:
- 2007-03-01
- DOI:
- EISSN:
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1362-4962
- ISSN:
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0305-1048
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:617962f2-1779-4382-882e-f91a873fbd20
- Local pid:
- ora:3014
- Deposit date:
- 2009-11-05
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Terms of use
- Copyright holder:
- Stefano Colella et al
- Copyright date:
- 2007
- Notes:
- Citation: Colella, S. et al. (2007). 'QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data', Nucleic Acids Research, 35(6), 2013-2025. [Available at http://nar.oxfordjournals.org/]. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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