m-HMM is a tool to detect copy number variation (CNV) in next-generation sequencing (NGS). The m-HMM algorithm uses a hidden Markov model (HMM) together with emission probabilities that are directed by mixture distributions, and it estimates the parameter values applying the Expectation-Maximization (EM) algorithm.
Genetics; Genetic variation
Wang H, Nettleton D, Ying K "Copy number variation detection using next generation sequencing read counts." BMC Bioinformatics. 2014 Apr 14;15:109. https://doi.org/10.1186/1471-2105-15-109
PMID: 24731174
PMCID: PMC4021345
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