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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244592/ https://www.ncbi.nlm.nih.gov/pubmed/28103803 http://dx.doi.org/10.1186/s12859-016-1451-5 |