ConCysFind: a pipeline tool to predict conserved amino acids of protein sequences across the plant kingdom
- 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
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ConCysFind: a pipeline tool to predict conserved amino acids of protein sequences across the plant kingdom ; volume:21 ; number:1 ; day:31 ; month:10 ; year:2020 ; pages:1-10 ; date:12.2020
BMC bioinformatics ; 21, Heft 1 (31.10.2020), 1-10, 12.2020
- Urheber
-
Moore, Marten
Wesemann, Corinna
Gossmann, Nikolaj
Sahm, Arne
Krüger, Jan
Sczyrba, Alexander
Dietz, Karl-Josef
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12859-020-03749-2
- URN
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urn:nbn:de:101:1-2020121419331317552644
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Moore, Marten
- Wesemann, Corinna
- Gossmann, Nikolaj
- Sahm, Arne
- Krüger, Jan
- Sczyrba, Alexander
- Dietz, Karl-Josef
- SpringerLink (Online service)
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