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DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data.
Khazeeva, Gelana; Sablauskas, Karolis; van der Sanden, Bart; Steyaert, Wouter; Kwint, Michael; Rots, Dmitrijs; Hinne, Max; van Gerven, Marcel; Yntema, Helger; Vissers, Lisenka; Gilissen, Christian.
Afiliação
  • Khazeeva G; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Sablauskas K; Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
  • van der Sanden B; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Steyaert W; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Kwint M; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Rots D; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Hinne M; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands.
  • van Gerven M; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands.
  • Yntema H; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Vissers L; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
  • Gilissen C; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
Nucleic Acids Res ; 50(17): e97, 2022 09 23.
Article em En | MEDLINE | ID: mdl-35713566
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Aprendizado Profundo Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Aprendizado Profundo Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda