Cargando…
Large-scale assessment of antimicrobial resistance marker databases for genetic phenotype prediction: a systematic review
BACKGROUND: Antimicrobial resistance (AMR) is a rising health threat with 10 million annual casualties estimated by 2050. Appropriate treatment of infectious diseases with the right antibiotics reduces the spread of antibiotic resistance. Today, clinical practice relies on molecular and PCR techniqu...
Autores principales: | Mahfouz, Norhan, Ferreira, Inês, Beisken, Stephan, von Haeseler, Arndt, Posch, Andreas E |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566382/ https://www.ncbi.nlm.nih.gov/pubmed/32658975 http://dx.doi.org/10.1093/jac/dkaa257 |
Ejemplares similares
-
Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb: an Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection Trial
por: Ferreira, Ines, et al.
Publicado: (2020) -
Culture-Free Detection of Antibiotic Resistance Markers from Native Patient Samples by Hybridization Capture Sequencing
por: Ferreira, Ines, et al.
Publicado: (2021) -
Predictive Antibiotic Susceptibility Testing by Next-Generation Sequencing for Periprosthetic Joint Infections: Potential and Limitations
por: Lüftinger, Lukas, et al.
Publicado: (2021) -
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data
por: Lüftinger, Lukas, et al.
Publicado: (2021) -
INVHOGEN: a database of homologous invertebrate genes
por: Paulsen, Ingo, et al.
Publicado: (2006)