Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2164
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency ; volume:17 ; number:1 ; day:16 ; month:12 ; year:2016 ; pages:1-14 ; date:12.2016
BMC genomics ; 17, Heft 1 (16.12.2016), 1-14, 12.2016
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
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Serba, Desalegn D.
- Beteiligte Personen und Organisationen
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Uppalapati, Srinivasa Rao
Krom, Nick
Mukherjee, Shreyartha
Tang, Yuhong
Mysore, Kirankumar S.
Saha, Malay C.
SpringerLink (Online service)
- DOI
-
10.1186/s12864-016-3377-8
- URN
-
urn:nbn:de:1111-201701167794
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 09:00 UTC
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Beteiligte
- Serba, Desalegn D.
- Uppalapati, Srinivasa Rao
- Krom, Nick
- Mukherjee, Shreyartha
- Tang, Yuhong
- Mysore, Kirankumar S.
- Saha, Malay C.
- SpringerLink (Online service)
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Efficiency of difference-list programming
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Advances in biotechnology and genomics of switchgrass
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Comparative transcriptome analysis provides key insights into seedling development in switchgrass (Panicum virgatum L.)
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Global transcriptome analysis of Clostridium thermocellum ATCC 27405 during growth on dilute acid pretreated Populus and switchgrass
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