國立虎尾科技大學 |

Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients/ by Syeda Sograh Fatima, Eman Al Mussaed.
Author:	Fatima, Syeda Sograh.
other author:	Mussaed, Eman Al.
Description:	VI, 78 p. 37 illus., 36 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
Online resource:	https://doi.org/10.1007/978-981-10-4750-3
ISBN:	9789811047503

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[electronic resource] /by Syeda Sograh Fatima, Eman Al Mussaed. - 1st ed. 2018. - VI, 78 p. 37 illus., 36 illus. in color.online resource. - SpringerBriefs in Forensic and Medical Bioinformatics,2196-8845. - SpringerBriefs in Forensic and Medical Bioinformatics,.

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.

ISBN: 9789811047503

Standard No.: 10.1007/978-981-10-4750-3doiSubjects--Topical Terms:

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients
LDR:02338nam a22004215i 4500 001 998212
003 DE-He213
005 20200630063521.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811047503 $9 978-981-10-4750-3
024 7 $a 10.1007/978-981-10-4750-3 $2 doi
035 $a 978-981-10-4750-3
050 4 $a R856-857
050 4 $a HC79.E5
050 4 $a GE220
072 7 $a MQW $2 bicssc
072 7 $a TEC059000 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 610.28 $2 23
100 1 $a Fatima, Syeda Sograh. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1289689
245 1 0 $a Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients $h [electronic resource] / $c by Syeda Sograh Fatima, Eman Al Mussaed.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a VI, 78 p. 37 illus., 36 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Forensic and Medical Bioinformatics, $x 2196-8845
505 0 $a 1.Urinary Tract Infections -- 2.Biochemical and Molecular characterization of common UTI Pathogen -- 3.Antibiotic resistance in UTI Bacteria -- 4.Case study.
520 $a 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.
650 0 $a Biomedical engineering. $3 588770
650 0 $a Health informatics. $3 1064466
650 0 $a Bioinformatics. $3 583857
650 0 $a Bacteriology. $3 668505
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 1 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Computational Biology/Bioinformatics. $3 677363
650 2 4 $a Signal, Image and Speech Processing. $3 670837
700 1 $a Mussaed, Eman Al. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1289690
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811047497
776 0 8 $i Printed edition: $z 9789811047510
830 0 $a SpringerBriefs in Forensic and Medical Bioinformatics, $x 2196-8845 $3 1264703
856 4 0 $u https://doi.org/10.1007/978-981-10-4750-3
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)