CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1756-994X
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores ; volume:13 ; number:1 ; day:22 ; month:2 ; year:2021 ; pages:1-12 ; date:12.2021
Genome medicine ; 13, Heft 1 (22.2.2021), 1-12, 12.2021
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13073-021-00835-9
- URN
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urn:nbn:de:101:1-2021041009311309001586
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:47 MESZ
Datenpartner
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Beteiligte
- Rentzsch, Philipp
- Schubach, Max
- Shendure, Jay
- Kircher, Martin
- SpringerLink (Online service)
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