PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2524-6372
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning ; volume:17 ; number:1 ; day:8 ; month:2 ; year:2022 ; pages:1-11 ; date:12.2022
Environmental microbiome ; 17, Heft 1 (8.2.2022), 1-11, 12.2022
- Urheber
-
Oliveira Monteiro, Lummy Maria
Saraiva, João Pedro
Brizola Toscan, Rodolfo
Stadler, Peter F.
Silva-Rocha, Rafael
Nunes da Rocha, Ulisses
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40793-021-00394-x
- URN
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urn:nbn:de:101:1-2022051507081992022439
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:32 MESZ
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Beteiligte
- Oliveira Monteiro, Lummy Maria
- Saraiva, João Pedro
- Brizola Toscan, Rodolfo
- Stadler, Peter F.
- Silva-Rocha, Rafael
- Nunes da Rocha, Ulisses
- SpringerLink (Online service)
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