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Meningococcus genome informatics platform: a system for analyzing multilocus sequence typing data

Authors :
Robert T. Taylor
I. King Jordan
Susanna Schmink
Brian H. Harcourt
Andrey Kislyuk
Leonard W. Mayer
Xin Wang
Christopher R. Bolen
Lee S. Katz
Source :
Nucleic Acids Research
Publication Year :
2009
Publisher :
Oxford University Press (OUP), 2009.

Abstract

The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing (MLST) data, at http://mgip.biology.gatech.edu. MLST is used to generate allelic profiles to characterize strains of Neisseria meningitidis, a major cause of bacterial meningitis worldwide. Neisseria meningitidis strains are characterized with MLST as specific sequence types (ST) and clonal complexes (CC) based on the DNA sequences at defined loci. These data are vital to molecular epidemiology studies of N. meningitidis, including outbreak investigations and population biology. MGIP analyzes DNA sequence trace files, returns individual allele calls and characterizes the STs and CCs. MGIP represents a substantial advance over existing software in several respects: (i) ease of use--MGIP is user friendly, intuitive and thoroughly documented; (ii) flexibility--because MGIP is a website, it is compatible with any computer with an internet connection, can be used from any geographic location, and there is no installation; (iii) speed--MGIP takes just over one minute to process a set of 96 trace files; and (iv) expandability--MGIP has the potential to expand to more loci than those used in MLST and even to other bacterial species.

Details

ISSN :
13624962 and 03051048
Volume :
37
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....667290c78a6836c4181bc9e128f86f77
Full Text :
https://doi.org/10.1093/nar/gkp288