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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Fan, Flaherty, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
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

Internet

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

Ejemplares similares