Phylogenetic relatedness determined between antibiotic resistance and 16S rRNA genes in actinobacteria
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2180
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Phylogenetic relatedness determined between antibiotic resistance and 16S rRNA genes in actinobacteria ; volume:15 ; number:1 ; day:1 ; month:4 ; year:2015 ; pages:1-13 ; date:12.2015
BMC microbiology ; 15, Heft 1 (1.4.2015), 1-13, 12.2015
- Urheber
-
Sagova-Mareckova, Marketa
Ulanova, Dana
Sanderova, Petra
Omelka, Marek
Kamenik, Zdenek
Olsovska, Jana
Kopecky, Jan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12866-015-0416-6
- URN
-
urn:nbn:de:101:1-2021081719055498734622
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 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
- Sagova-Mareckova, Marketa
- Ulanova, Dana
- Sanderova, Petra
- Omelka, Marek
- Kamenik, Zdenek
- Olsovska, Jana
- Kopecky, Jan
- SpringerLink (Online service)
Ähnliche Objekte (12)
Development of a prototype 16S rRNA gene-based microarray for monitoring planktonic actinobacteria in shrimp ponds
Astragalus affects fecal microbial composition of young hens as determined by 16S rRNA sequencing
Bacterial genotyping by 16S rRNA mass cataloging
Analysis of 16S rRNA environmental sequences using MEGAN
Comparison of 16S rRNA gene sequences of genus Methanobrevibacter
Differential richness inference for 16S rRNA marker gene surveys
Deep learning for predicting 16S rRNA gene copy number
A comparison between full-length 16S rRNA Oxford nanopore sequencing and Illumina V3-V4 16S rRNA sequencing in head and neck cancer tissues
16S rRNA sequencing of samples from universal stool bank donors
metaSPARSim: a 16S rRNA gene sequencing count data simulator
Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2
16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing
Development of a prototype 16S rRNA gene-based microarray for monitoring planktonic actinobacteria in shrimp ponds
Astragalus affects fecal microbial composition of young hens as determined by 16S rRNA sequencing
Bacterial genotyping by 16S rRNA mass cataloging
Analysis of 16S rRNA environmental sequences using MEGAN
Comparison of 16S rRNA gene sequences of genus Methanobrevibacter
Differential richness inference for 16S rRNA marker gene surveys
Deep learning for predicting 16S rRNA gene copy number
A comparison between full-length 16S rRNA Oxford nanopore sequencing and Illumina V3-V4 16S rRNA sequencing in head and neck cancer tissues
16S rRNA sequencing of samples from universal stool bank donors
metaSPARSim: a 16S rRNA gene sequencing count data simulator
Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2
16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing
Development of a prototype 16S rRNA gene-based microarray for monitoring planktonic actinobacteria in shrimp ponds
Astragalus affects fecal microbial composition of young hens as determined by 16S rRNA sequencing
Bacterial genotyping by 16S rRNA mass cataloging
Analysis of 16S rRNA environmental sequences using MEGAN
Comparison of 16S rRNA gene sequences of genus Methanobrevibacter
Differential richness inference for 16S rRNA marker gene surveys
Deep learning for predicting 16S rRNA gene copy number
A comparison between full-length 16S rRNA Oxford nanopore sequencing and Illumina V3-V4 16S rRNA sequencing in head and neck cancer tissues
16S rRNA sequencing of samples from universal stool bank donors
metaSPARSim: a 16S rRNA gene sequencing count data simulator
Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2