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:
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
Description
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.

Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9789811047503
9811047502
9811047499
9789811047497
ISSN:2191-530X