Database-driven Multi Locus Sequence Typing (MLST) of bacterial pathogens
Autor: | Man-Suen Chan, Martin C. J. Maiden, Brian G. Spratt |
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Rok vydání: | 2001 |
Předmět: |
Statistics and Probability
Web server Sequence analysis education Locus (genetics) Dynamic web page Biology computer.software_genre Biochemistry User-Computer Interface Typing Software system Molecular Biology computer.programming_language Internet Bacteria Database Computational Biology Sequence Analysis DNA Bacterial Typing Techniques Computer Science Applications Computational Mathematics Computational Theory and Mathematics Genes Bacterial Database Management Systems Multilocus sequence typing Perl Databases Nucleic Acid computer Software |
Zdroj: | Bioinformatics. 17:1077-1083 |
ISSN: | 1367-4811 1367-4803 |
DOI: | 10.1093/bioinformatics/17.11.1077 |
Popis: | Motivation: Multi Locus Sequence Typing (MLST) is a newly developed typing method for bacteria based on the sequence determination of internal fragments of seven house-keeping genes. It has proved useful in characterizing and monitoring disease-causing and antibiotic resistant lineages of bacteria. The strength of this approach is that unlike data obtained using most other typing methods, sequence data are unambiguous, can be held on a central database and be queried through a web server. Results: A database-driven software system (mlstdb) has been developed, which is used by public health laboratories and researchers globally to query their nucleotide sequence data against centrally held databases over the internet. The mlstdb system consists of a set of perl scripts for defining the database tables and generating the database management interface and dynamic web pages for querying the databases. Availability: http://www.mlst.net. Contact: mchan@molbiol.ox.ac.uk * To whom correspondence should be addressed. 2 Present address: Department of Paediatrics, The Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK. 3 Present address: Department of Infectious Disease Epidemiology, Imperial College School of Medicine, University of London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK. |
Databáze: | OpenAIRE |
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