Bayesian localization of CNV candidates in WGS data within minutes

BACKGROUND: Full Bayesian inference for detecting copy number variants (CNV) from whole-genome sequencing (WGS) data is still largely infeasible due to computational demands. A recently introduced approach to perform Forward–Backward Gibbs sampling using dynamic Haar wavelet compression has alleviat...

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Detalles Bibliográficos
Autores principales: Wiedenhoeft, John, Cagan, Alex, Kozhemyakina, Rimma, Gulevich, Rimma, Schliep, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757390/
https://www.ncbi.nlm.nih.gov/pubmed/31572486
http://dx.doi.org/10.1186/s13015-019-0154-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757390/
https://www.ncbi.nlm.nih.gov/pubmed/31572486
http://dx.doi.org/10.1186/s13015-019-0154-7

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