DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data.
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| Title: | DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data. |
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| Authors: | 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. |
| Source: | Nucleic acids research [Nucleic Acids Res] 2022 Sep 23; Vol. 50 (17), pp. e97. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35713566 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Khazeeva+G%22">Khazeeva G</searchLink>; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Sablauskas+K%22">Sablauskas K</searchLink>; Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.<br /><searchLink fieldCode="AU" term="%22van+der+Sanden+B%22">van der Sanden B</searchLink>; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Steyaert+W%22">Steyaert W</searchLink>; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Kwint+M%22">Kwint M</searchLink>; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Rots+D%22">Rots D</searchLink>; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Hinne+M%22">Hinne M</searchLink>; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Gerven+M%22">van Gerven M</searchLink>; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Yntema+H%22">Yntema H</searchLink>; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Vissers+L%22">Vissers L</searchLink>; Department of Human Genetics, Donders Centre for Neuroscience, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Gilissen+C%22">Gilissen C</searchLink>; Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220411011%22">Nucleic acids research</searchLink> [Nucleic Acids Res] 2022 Sep 23; Vol. 50 (17), pp. e97. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0411011 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1362-4962 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203051048%22">03051048 </searchLink><i>NLM ISO Abbreviation: </i>Nucleic Acids Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35713566 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/nar/gkac511 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e97 Titles: – TitleFull: DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khazeeva G – PersonEntity: Name: NameFull: Sablauskas K – PersonEntity: Name: NameFull: van der Sanden B – PersonEntity: Name: NameFull: Steyaert W – PersonEntity: Name: NameFull: Kwint M – PersonEntity: Name: NameFull: Rots D – PersonEntity: Name: NameFull: Hinne M – PersonEntity: Name: NameFull: van Gerven M – PersonEntity: Name: NameFull: Yntema H – PersonEntity: Name: NameFull: Vissers L – PersonEntity: Name: NameFull: Gilissen C IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 09 Text: 2022 Sep 23 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1362-4962 Numbering: – Type: volume Value: 50 – Type: issue Value: 17 Titles: – TitleFull: Nucleic acids research Type: main |
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