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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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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6909530/ https://ncbi.nlm.nih.gov/pubmed/31830921 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3299-y |
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