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Synopsis
The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing (MLST) data. MLST is used to generate allelic profiles to characterize strains of Neisseria meningitidis, a major cause of bacterial meningitis worldwide. N. 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: 1) ease of use - MGIP is user friendly, intuitive and thoroughly documented; 2) 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; 3) speed - MGIP takes just over one minute to process a set of 96 trace files; and 4) expandability - MGIP has the potential to expand to more loci than those used in MLST and even to other bacterial species.
More Info
MGIP started as a project for PhD student Lee Katz at The Georgia Institute of Technology and was fortunately classified as open source. MGIP is part of a collaboration between the Jordan Lab at GA Tech and the Meningitis Lab at Centers for Disease Control and Prevention. Dr. Lee Katz now works in the Meningitis Lab at CDC.
The original site is at http://mgip.biology.gatech.edu.
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