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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| 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 |