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Autore: | Fatima Syeda Sograh |
Titolo: | Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients / / by Syeda Sograh Fatima, Eman Al Mussaed |
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 |
ISBN: | 981-10-4750-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910299584603321 |
Lo trovi qui: | Univ. Federico II |
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