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Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data

BACKGROUND: The detection of rare single nucleotide variants (SNVs) is important for understanding genetic heterogeneity using next-generation sequencing (NGS) data. Various computational algorithms have been proposed to detect variants at the single nucleotide level in mixed samples. Yet, the noise...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Zhang, Fan, Flaherty, Patrick
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5244592/
https://ncbi.nlm.nih.gov/pubmed/28103803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1451-5
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