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DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network

BACKGROUND: Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations. Recently, Google developed a method for calling single nucleotide polymorphisms (SNPs) based on deep learning. Their method visuali...

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Detalles Bibliográficos
Autores principales:	Cai, Lei, Wu, Yufeng, Gao, Jingyang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909530/ https://www.ncbi.nlm.nih.gov/pubmed/31830921 http://dx.doi.org/10.1186/s12859-019-3299-y

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