Genetic algorithm for large-scale maximum parsimony phylogenetic analysis of proteins
Genetic algorithm for large-scale maximum parsimony phylogenetic analysis of proteins is a scholarly work by Helgi B. Schiöth and Robert Fredriksson, published in 2005 in ''Biochimica et Biophysica Acta''. The main subjects of the publication include RNA sequencing, selection (genetic algorithm), maximum parsimony, computational phylogenetics, heuristic, tree rearrangement, algorithm, heuristic, tree, phylogenetic tree, gene regulatory network, set, Phylogenetic network, mathematics, genetic algorithm, phylogenetics, and computer science. The authors describe here an approach for heuristic searching, using a genetic algorithm, that can reduce the time required for weighted maximum parsimony phylogenetic inference, especially for data sets involving a large number of taxa.