Literature DB >> 23369390

Bioinformatics in bacterial molecular epidemiology and public health: databases, tools and the next-generation sequencing revolution.

J A Carriço1, A J Sabat, A W Friedrich, M Ramirez.   

Abstract

Advances in typing methodologies have been the driving force in the field of molecular epidemiology of pathogens. The development of molecular methodologies, and more recently of DNA sequencing methods to complement and improve phenotypic identification methods, was accompanied by the generation of large amounts of data and the need to develop ways of storing and analysing them. Simultaneously, advances in computing allowed the development of specialised algorithms for image analysis, data sharing and integration, and for mining the ever larger amounts of accumulated data. In this review, we will discuss how bioinformatics accompanied the changes in bacterial molecular epidemiology. We will discuss the benefits for public health of specialised online typing databases and algorithms allowing for real-time data analysis and visualisation. The impact of the new and disruptive next-generation sequencing methodologies will be evaluated, and we will look ahead into these novel challenges.

Mesh:

Year:  2013        PMID: 23369390     DOI: 10.2807/ese.18.04.20382-en

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  23 in total

1.  Molecular Characterization and Phylogenetic Analysis of Pseudomonas aeruginosa Isolates Recovered from Greek Aquatic Habitats Implementing the Double-Locus Sequence Typing Scheme.

Authors:  Olga Pappa; Apostolos Beloukas; Apostolos Vantarakis; Athena Mavridou; Anastasia-Maria Kefala; Alex Galanis
Journal:  Microb Ecol       Date:  2016-12-28       Impact factor: 4.552

Review 2.  Visualization and analytics tools for infectious disease epidemiology: a systematic review.

Authors:  Lauren N Carroll; Alan P Au; Landon Todd Detwiler; Tsung-Chieh Fu; Ian S Painter; Neil F Abernethy
Journal:  J Biomed Inform       Date:  2014-04-16       Impact factor: 6.317

Review 3.  MLST revisited: the gene-by-gene approach to bacterial genomics.

Authors:  Martin C J Maiden; Melissa J Jansen van Rensburg; James E Bray; Sarah G Earle; Suzanne A Ford; Keith A Jolley; Noel D McCarthy
Journal:  Nat Rev Microbiol       Date:  2013-09-02       Impact factor: 60.633

4.  Comparative analysis of Streptococcus suis genomes identifies novel candidate virulence-associated genes in North American isolates.

Authors:  April A Estrada; Marcelo Gottschalk; Connie J Gebhart; Douglas G Marthaler
Journal:  Vet Res       Date:  2022-03-18       Impact factor: 3.683

5.  A large-scale genomic approach affords unprecedented resolution for the molecular epidemiology and evolutionary history of contagious caprine pleuropneumonia.

Authors:  Virginie Dupuy; Axel Verdier; François Thiaucourt; Lucía Manso-Silván
Journal:  Vet Res       Date:  2015-07-06       Impact factor: 3.683

Review 6.  Biosurveillance enterprise for operational awareness, a genomic-based approach for tracking pathogen virulence.

Authors:  Willy A Valdivia-Granda
Journal:  Virulence       Date:  2013-10-23       Impact factor: 5.882

Review 7.  High-Throughput Sequencing, a VersatileWeapon to Support Genome-Based Diagnosis in Infectious Diseases: Applications to Clinical Bacteriology.

Authors:  Ségolène Caboche; Christophe Audebert; David Hot
Journal:  Pathogens       Date:  2014-04-02

8.  TypOn: the microbial typing ontology.

Authors:  Cátia Vaz; Alexandre P Francisco; Mickael Silva; Keith A Jolley; James E Bray; Hannes Pouseele; Joerg Rothganger; Mário Ramirez; João A Carriço
Journal:  J Biomed Semantics       Date:  2014-10-18

9.  Molecular evidence of Burkholderia pseudomallei genotypes based on geographical distribution.

Authors:  Noorfatin Jihan Zulkefli; Vanitha Mariappan; Kumutha Malar Vellasamy; Chun Wie Chong; Kwai Lin Thong; Sasheela Ponnampalavanar; Jamuna Vadivelu; Cindy Shuan Ju Teh
Journal:  PeerJ       Date:  2016-03-15       Impact factor: 2.984

10.  First step in using molecular data for microbial food safety risk assessment; hazard identification of Escherichia coli O157:H7 by coupling genomic data with in vitro adherence to human epithelial cells.

Authors:  Annemarie Pielaat; Martin P Boer; Lucas M Wijnands; Angela H A M van Hoek; El Bouw; Gary C Barker; Peter F M Teunis; Henk J M Aarts; Eelco Franz
Journal:  Int J Food Microbiol       Date:  2015-04-10       Impact factor: 5.277

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