scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing ; volume:24 ; number:1 ; day:2 ; month:5 ; year:2023 ; pages:1-13 ; date:12.2023
BMC genomics ; 24, Heft 1 (2.5.2023), 1-13, 12.2023
- Urheber
-
Li, Kejie
Sun, Yu H.
Ouyang, Zhengyu
Negi, Soumya
Gao, Zhen
Zhu, Jing
Wang, Wanli
Chen, Yirui
Piya, Sarbottam
Hu, Wenxing
Zavodszky, Maria I.
Yalamanchili, Hima
Cao, Shaolong
Gehrke, Andrew
Sheehan, Mark
Huh, Dann
Casey, Fergal
Zhang, Xinmin
Zhang, Baohong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-023-09332-2
- URN
-
urn:nbn:de:101:1-2023090511274434525534
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.11.2025, 10:09 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Li, Kejie
- Sun, Yu H.
- Ouyang, Zhengyu
- Negi, Soumya
- Gao, Zhen
- Zhu, Jing
- Wang, Wanli
- Chen, Yirui
- Piya, Sarbottam
- Hu, Wenxing
- Zavodszky, Maria I.
- Yalamanchili, Hima
- Cao, Shaolong
- Gehrke, Andrew
- Sheehan, Mark
- Huh, Dann
- Casey, Fergal
- Zhang, Xinmin
- Zhang, Baohong
- SpringerLink (Online service)
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