Bacterial identification and drug susceptibility patterns in pregnant and non pregnant UTI patients /

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Bibliographic Details
Author / Creator:	Fatima, Syeda Sograh, author.
Imprint:	Singapore : Springer, [2018]
Description:	1 online resource
Language:	English
Series:	SpringerBriefs in applied sciences and technology, Forensic and medical bioinformatics, 2191-530X SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics.
Subject:	Urinary tract infections -- Molecular aspects. Bacteriology. Bioinformatics. Biomedical engineering. Engineering. Medical informatics.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11541837

Hidden Bibliographic Details
Other authors / contributors:	Mussa Eman Al, author.
ISBN:	9789811047503 9811047502 9811047499 9789811047497 9789811047497
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed October 6, 2017).
Summary:	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.
Other form:	Printed edition: 9789811047497
Standard no.:	10.1007/978-981-10-4750-3

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