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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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| I publikationen: | BMC Bioinformatics |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2017
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| Ämnen: | |
| Länkar: | 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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