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Record Nr. |
UNINA9910299584603321 |
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Autore |
Fatima Syeda Sograh |
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Titolo |
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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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (VI, 78 p. 37 illus., 36 illus. in color.) |
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Collana |
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SpringerBriefs in Forensic and Medical Bioinformatics, , 2196-8845 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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1.Urinary Tract Infections -- 2.Biochemical and Molecular characterization of common UTI Pathogen -- 3.Antibiotic resistance in UTI Bacteria -- 4.Case study. |
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Sommario/riassunto |
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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 |
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