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Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients [[electronic resource] /] / by Syeda Sograh Fatima, Eman Al Mussaed



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Autore: Fatima Syeda Sograh Visualizza persona
Titolo: Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients [[electronic resource] /] / by Syeda Sograh Fatima, Eman Al Mussaed Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (VI, 78 p. 37 illus., 36 illus. in color.)
Disciplina: 610.28
Soggetto topico: Biomedical engineering
Health informatics
Bioinformatics
Bacteriology
Signal processing
Image processing
Speech processing systems
Biomedical Engineering and Bioengineering
Health Informatics
Computational Biology/Bioinformatics
Signal, Image and Speech Processing
Persona (resp. second.): MussaedEman Al
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: 1.Urinary Tract Infections -- 2.Biochemical and Molecular characterization of common UTI Pathogen -- 3.Antibiotic resistance in UTI Bacteria -- 4.Case study.
Sommario/riassunto: This book provides a review of essential research on urinary tract infections (UTIs), as well as a broader perspective on methodologies adopted for the isolation and identification of the bacteria from urine samples of pregnant and non-pregnant women on the basis of their cultural, morphological and biochemical characteristics. The identification is extended to the strain level by means of molecular identification involving BLAST as a bioinformatics tool. The book also addresses the roles of various other bioinformatics tools for tracing the phylogenetic tree and conservation studies among the bacteriocin of the identified bacteria. Lastly, it assesses the antibiotics resistance patterns of these isolates.
Titolo autorizzato: Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients  Visualizza cluster
ISBN: 981-10-4750-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299584603321
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Serie: SpringerBriefs in Forensic and Medical Bioinformatics, . 2196-8845