Display Settings:

Format

Send to:

Choose Destination
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W606-11. doi: 10.1093/nar/gkp288. Epub 2009 May 25.

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

Author information

  • 1School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA. lskatz@gatech.edu

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.

PMID:
19468047
[PubMed - indexed for MEDLINE]
PMCID:
PMC2703879
Free PMC Article

Images from this publication.See all images (3)Free text

Figure 1.
Figure 2.
Figure 3.
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for HighWire Icon for PubMed Central
    Loading ...
    Write to the Help Desk