![]() MLST is the most modern and widely used of these approaches, and it provides an unambiguous method for typing bacterial strains ( 8). Standard methods for molecular typing include, but are not limited to, restriction fragment length polymorphism ( 1), pulsed field gel electrophoresis ( 2), multilocus sequence typing (MLST) ( 3, 4), and porA, porB and fetA typing ( 5–7). 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.Įpidemiological surveillance of Neisseria meningitidis necessitates molecular typing. MGIP analyzes DNA sequence trace files, returns individual allele calls and characterizes the STs and CCs. meningitidis, including outbreak investigations and population biology. These data are vital to molecular epidemiology studies of N. Neisseria meningitidis strains are characterized with MLST as specific sequence types (ST) and clonal complexes (CC) based on the DNA sequences at defined loci. MLST is used to generate allelic profiles to characterize strains of Neisseria meningitidis, a major cause of bacterial meningitis worldwide. The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational tools for the analysis of multilocus sequence typing (MLST) data, at. ![]()
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