Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients
Fatima, Syeda Sograh
Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients by Syeda Sograh Fatima, Eman Al Mussaed. - 1 recurso en línea (VI, 78 páginas 37 ilustraciones, 36 ilustraciones a color) - SpringerBriefs in Forensic and Medical Bioinformatics 2196-8845 Engineering (Springer-11647) .
1.Urinary Tract Infections -- 2.Biochemical and Molecular characterization of common UTI Pathogen -- 3.Antibiotic resistance in UTI Bacteria -- 4.Case study.
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.
9789811047503
10.1007/978-981-10-4750-3 doi
Aparato urinario--Infecciones
Ingeniería biomédica
RC901.8 / F385 2018 EB
Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients by Syeda Sograh Fatima, Eman Al Mussaed. - 1 recurso en línea (VI, 78 páginas 37 ilustraciones, 36 ilustraciones a color) - SpringerBriefs in Forensic and Medical Bioinformatics 2196-8845 Engineering (Springer-11647) .
1.Urinary Tract Infections -- 2.Biochemical and Molecular characterization of common UTI Pathogen -- 3.Antibiotic resistance in UTI Bacteria -- 4.Case study.
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.
9789811047503
10.1007/978-981-10-4750-3 doi
Aparato urinario--Infecciones
Ingeniería biomédica
RC901.8 / F385 2018 EB