CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome?
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome? ; volume:10 ; number:1 ; day:20 ; month:2 ; year:2009 ; pages:1-6 ; date:12.2009
BMC bioinformatics ; 10, Heft 1 (20.2.2009), 1-6, 12.2009
- Urheber
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Han, Leng
- Beteiligte Personen und Organisationen
-
Zhao, Zhongming
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-10-65
- URN
-
urn:nbn:de:1111-2016021711088
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:25 MESZ
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Beteiligte
- Han, Leng
- Zhao, Zhongming
- SpringerLink (Online service)
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