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Figure 1 | BMC Bioinformatics

Figure 1

From: MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heuristics

Figure 1

The MetaPIGA-2.0 heuristic setting window. The user can set the parameters of the chosen heuristic: here, for the metaGA, the consensus type, the selection scheme, the operator behavior, the number of cores/processors (here, 2 cores) onto which the populations are distributed, the number of populations and the number of individuals per population, the tolerance parameter (frequency with which internal branches are affected by mutational operators even if that branch is present in all trees across all populations), and the frequency of hybridization among populations. See text for details.

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