- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2049-2618
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
The development of lower respiratory tract microbiome in mice ; volume:5 ; number:1 ; day:21 ; month:6 ; year:2017 ; pages:1-16 ; date:12.2017
Microbiome ; 5, Heft 1 (21.6.2017), 1-16, 12.2017
- Schlagwort
-
Atemwegskrankheit
Atemnot
- Urheber
-
Singh, Nisha
- Beteiligte Personen und Organisationen
-
Vats, Asheema
Sharma, Aditi
Arora, Amit
Kumar, Ashwani
SpringerLink (Online service)
- DOI
-
10.1186/s40168-017-0277-3
- URN
-
urn:nbn:de:1111-201711198612
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Singh, Nisha
- Vats, Asheema
- Sharma, Aditi
- Arora, Amit
- Kumar, Ashwani
- SpringerLink (Online service)
Ähnliche Objekte (12)
Effects of smoking on the lower respiratory tract microbiome in mice
Erratum to: The development of lower respiratory tract microbiome in mice
Bias caused by sample selection for lower respiratory tract microbiome research
Dysbiosis of lower respiratory tract microbiome are associated with inflammation and microbial function variety
Viral pathogens associated with lower respiratory tract infection
Deep longitudinal lower respiratory tract microbiome profiling reveals genome-resolved functional and evolutionary dynamics in critical illness
Markers of lower respiratory tract infections in emergency departments
Characterization of the pig lower respiratory tract antibiotic resistome
The microbiome of the upper respiratory tract in health and disease
Respiratory viruses in children hospitalized for acute lower respiratory tract infection in Ghana
Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis
Lower respiratory tract infections among newly diagnosed sleep apnea patients
Effects of smoking on the lower respiratory tract microbiome in mice
Erratum to: The development of lower respiratory tract microbiome in mice
Bias caused by sample selection for lower respiratory tract microbiome research
Dysbiosis of lower respiratory tract microbiome are associated with inflammation and microbial function variety
Viral pathogens associated with lower respiratory tract infection
Deep longitudinal lower respiratory tract microbiome profiling reveals genome-resolved functional and evolutionary dynamics in critical illness
Markers of lower respiratory tract infections in emergency departments
Characterization of the pig lower respiratory tract antibiotic resistome
The microbiome of the upper respiratory tract in health and disease
Respiratory viruses in children hospitalized for acute lower respiratory tract infection in Ghana
Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis
Lower respiratory tract infections among newly diagnosed sleep apnea patients
Effects of smoking on the lower respiratory tract microbiome in mice
Erratum to: The development of lower respiratory tract microbiome in mice
Bias caused by sample selection for lower respiratory tract microbiome research
Dysbiosis of lower respiratory tract microbiome are associated with inflammation and microbial function variety
Viral pathogens associated with lower respiratory tract infection
Deep longitudinal lower respiratory tract microbiome profiling reveals genome-resolved functional and evolutionary dynamics in critical illness
Markers of lower respiratory tract infections in emergency departments
Characterization of the pig lower respiratory tract antibiotic resistome
The microbiome of the upper respiratory tract in health and disease
Respiratory viruses in children hospitalized for acute lower respiratory tract infection in Ghana
Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis