Meningococcus genome informatics platform: a system for analyzing multilocus sequence typing data
Author(s)
Katz, Lee S.
Bolen, Chris R.
Harcourt, Brian H.
Schmink, Susanna
Wang, Xin
Kislyuk, Andrey
Taylor, Robert T.
Mayer, Leonard W.
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Editor(s)
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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.
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Date
2009-05-25
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