Pan-African genome demonstrates how population-specific genome graphs improve high-throughput sequencing data analysis
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2041-1723
- 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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Pan-African genome demonstrates how population-specific genome graphs improve high-throughput sequencing data analysis ; volume:13 ; number:1 ; day:4 ; month:8 ; year:2022 ; pages:1-11 ; date:12.2022
Nature Communications ; 13, Heft 1 (4.8.2022), 1-11, 12.2022
- Urheber
-
Tetikol, H. Serhat
Turgut, Deniz
Narci, Kubra
Budak, Gungor
Kalay, Ozem
Arslan, Elif
Demirkaya-Budak, Sinem
Dolgoborodov, Alexey
Kabakci-Zorlu, Duygu
Semenyuk, Vladimir
Jain, Amit
Davis-Dusenbery, Brandi N.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41467-022-31724-3
- URN
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urn:nbn:de:101:1-2022102312251162985361
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
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Beteiligte
- Tetikol, H. Serhat
- Turgut, Deniz
- Narci, Kubra
- Budak, Gungor
- Kalay, Ozem
- Arslan, Elif
- Demirkaya-Budak, Sinem
- Dolgoborodov, Alexey
- Kabakci-Zorlu, Duygu
- Semenyuk, Vladimir
- Jain, Amit
- Davis-Dusenbery, Brandi N.
- SpringerLink (Online service)
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