Publication:
Bioinformatics tools and databases for whole genome sequence analysis of Mycobacterium tuberculosis

dc.contributor.authorKiatichai Faksrien_US
dc.contributor.authorJun Hao Tanen_US
dc.contributor.authorAngkana Chaipraserten_US
dc.contributor.authorYik Ying Teoen_US
dc.contributor.authorRick Twee Hee Ongen_US
dc.contributor.otherKhon Kaen Universityen_US
dc.contributor.otherNational University of Singaporeen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherNUS Graduate School for Integrative Sciences and Engineeringen_US
dc.contributor.otherA-Star, Genome Institute of Singaporeen_US
dc.date.accessioned2018-12-11T01:55:54Z
dc.date.accessioned2019-03-14T08:03:57Z
dc.date.available2018-12-11T01:55:54Z
dc.date.available2019-03-14T08:03:57Z
dc.date.issued2016-11-01en_US
dc.description.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.en_US
dc.identifier.citationInfection, Genetics and Evolution. Vol.45, (2016), 359-368en_US
dc.identifier.doi10.1016/j.meegid.2016.09.013en_US
dc.identifier.issn15677257en_US
dc.identifier.issn15671348en_US
dc.identifier.other2-s2.0-84992199734en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/42910
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992199734&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectImmunology and Microbiologyen_US
dc.subjectMedicineen_US
dc.titleBioinformatics tools and databases for whole genome sequence analysis of Mycobacterium tuberculosisen_US
dc.typeReviewen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992199734&origin=inwarden_US

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