title: Constructing phylogenetic supernetworks based on simulated annealing.
abstract: Different partial phylogenetic trees can be derived from different sources of evidence and different methods. One important problem is to summarize these partial phylogenetic trees using a supernetwork. We propose a novel simulated annealing based method called SNSA which uses an optimization function to produce a simple network that still retains a great deal of phylogenetic information. We report the performance of this new method on real and simulated datasets.
authors.affiliation: Faculty of Mathematics, Shahid Beheshti University, GC, Tehran, Iran. rezahassanzadeh@ipm.ir
authors.forename: Reza
authors.initials: R
authors.lastname: Hassanzadeh
authors.forename: Changiz
authors.initials: C
authors.lastname: Eslahchi
authors.forename: Wing-Kin
authors.initials: WK
authors.lastname: Sung
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005658:Fungi / Q000145:classification / Q000235:genetics; D008390:Markov Chains; D008957:Models, Genetic; D010802:Phylogeny; D014863:Wasps / Q000145:classification / Q000235:genetics