RAFTS3G: an efficient and versatile clustering software to analyses in large protein datasets
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
RAFTS3G: an efficient and versatile clustering software to analyses in large protein datasets ; volume:20 ; number:1 ; day:15 ; month:7 ; year:2019 ; pages:1-7 ; date:12.2019
BMC bioinformatics ; 20, Heft 1 (15.7.2019), 1-7, 12.2019
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Lima Nichio, Bruno Thiago de
Oliveira, Aryel Marlus Repula de
Pierri, Camilla Reginatto de
Santos, Leticia Graziela Costa
Lejambre, Alexandre Quadros
Vialle, Ricardo Assunção
Rocha Coimbra, Nilson Antônio da
Guizelini, Dieval
Marchaukoski, Jeroniza Nunes
Oliveira Pedrosa, Fabio de
Raittz, Roberto Tadeu
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-019-2973-4
- URN
-
urn:nbn:de:101:1-2019120820384455701086
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:04 MESZ
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Beteiligte
- Lima Nichio, Bruno Thiago de
- Oliveira, Aryel Marlus Repula de
- Pierri, Camilla Reginatto de
- Santos, Leticia Graziela Costa
- Lejambre, Alexandre Quadros
- Vialle, Ricardo Assunção
- Rocha Coimbra, Nilson Antônio da
- Guizelini, Dieval
- Marchaukoski, Jeroniza Nunes
- Oliveira Pedrosa, Fabio de
- Raittz, Roberto Tadeu
- SpringerLink (Online service)
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