Bayesian localization of CNV candidates in WGS data within minutes

Bayesian localization of CNV candidates in WGS data within minutes

Abstract 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...

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Bibliographic Details
Main Authors: John Wiedenhoeft, Alex Cagan, Rimma Kozhemyakina, Rimma Gulevich, Alexander Schliep
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Algorithms for Molecular Biology
Subjects:
HMM
Wavelet
CNV
Bayesian inference
Online Access:http://link.springer.com/article/10.1186/s13015-019-0154-7

Internet

http://link.springer.com/article/10.1186/s13015-019-0154-7

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