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BURST (Based Upon Related Sequence Types) is a novel clustering algorithm designed for use on microbial MLST data developed by Ed Feil (University of Bath). The algorithm evaluates the genetic distance between strains using a pairwise distance matrix based on allelic profiles. The principle of BURST clustering is to combine strains with a limited number of mismatches in allelic profiles into one clonal complex.

eBURST is an on-line version of the algorithm.