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

Internet

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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