BMScan: using whole genome similarity to rapidly and accurately identify bacterial meningitis causing species
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2334
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
BMScan: using whole genome similarity to rapidly and accurately identify bacterial meningitis causing species ; volume:18 ; number:1 ; day:15 ; month:8 ; year:2018 ; pages:1-9 ; date:12.2018
BMC infectious diseases ; 18, Heft 1 (15.8.2018), 1-9, 12.2018
- Urheber
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Topaz, Nadav
- Beteiligte Personen und Organisationen
-
Boxrud, Dave
Retchless, Adam C.
Nichols, Megan
Chang, How-Yi
Hu, Fang
Wang, Xin
SpringerLink (Online service)
- DOI
-
10.1186/s12879-018-3324-1
- URN
-
urn:nbn:de:101:1-2018090309565906899487
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
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Beteiligte
- Topaz, Nadav
- Boxrud, Dave
- Retchless, Adam C.
- Nichols, Megan
- Chang, How-Yi
- Hu, Fang
- Wang, Xin
- SpringerLink (Online service)
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