PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets
- 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
-
online resource.
- Erschienen in
-
PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets ; volume:20 ; number:1 ; day:8 ; month:11 ; year:2019 ; pages:1-11 ; date:12.2019
BMC bioinformatics ; 20, Heft 1 (8.11.2019), 1-11, 12.2019
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-019-3159-9
- URN
-
urn:nbn:de:101:1-2020030700165859952286
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
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Beteiligte
- Nanni, Luca
- Pinoli, Pietro
- Canakoglu, Arif
- Ceri, Stefano
- SpringerLink (Online service)
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