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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/42910
Title: Bioinformatics tools and databases for whole genome sequence analysis of Mycobacterium tuberculosis
Authors: Kiatichai Faksri
Jun Hao Tan
Angkana Chaiprasert
Yik Ying Teo
Rick Twee Hee Ong
Khon Kaen University
National University of Singapore
Mahidol University
NUS Graduate School for Integrative Sciences and Engineering
A-Star, Genome Institute of Singapore
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology;Immunology and Microbiology;Medicine
Issue Date: 1-Nov-2016
Citation: Infection, Genetics and Evolution. Vol.45, (2016), 359-368
Abstract: © 2016 Elsevier B.V. Tuberculosis (TB) is an infectious disease of global public health importance caused by Mycobacterium tuberculosis complex (MTC) in which M. tuberculosis (Mtb) is the major causative agent. Recent advancements in genomic technologies such as next generation sequencing have enabled high throughput cost-effective generation of whole genome sequence information from Mtb clinical isolates, providing new insights into the evolution, genomic diversity and transmission of the Mtb bacteria, including molecular mechanisms of antibiotic resistance. The large volume of sequencing data generated however necessitated effective and efficient management, storage, analysis and visualization of the data and results through development of novel and customized bioinformatics software tools and databases. In this review, we aim to provide a comprehensive survey of the current freely available bioinformatics software tools and publicly accessible databases for genomic analysis of Mtb for identifying disease transmission in molecular epidemiology and in rapid determination of the antibiotic profiles of clinical isolates for prompt and optimal patient treatment.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992199734&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/42910
ISSN: 15677257
15671348
Appears in Collections:Scopus 2016-2017

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