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Minimizing the deep coalescence cost

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cris.lastimport.scopus2024-02-12T20:04:18Z
dc.abstract.enMetagenomic studies identify the species present in an environmental sample usually by using procedures that match molecular sequences, e.g. genes, with the species taxonomy. Here, we first formulate the problem of gene-species matching in the parsimony framework using binary phylogenetic gene and species trees under the deep coalescence cost and the assumption that each gene is paired uniquely with one species. In particular, we solve the problem in the cases when one of the trees is a caterpillar. Next, we propose a dynamic programming algorithm, which solves the problem exactly, however, its time and space complexity is exponential. Next, we generalize the problem to include non-binary trees and show the solution for caterpillar trees. We then propose time and space-efficient heuristic algorithms for solving the gene-species matching problem for any input trees. Finally, we present the results of computational experiments on simulated and empirical datasets consisting of binary tree pairs.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorGórecki, Paweł
dc.contributor.authorDąbkowski, Dawid
dc.contributor.authorTabaszewski, Paweł
dc.date.accessioned2024-01-25T12:40:20Z
dc.date.available2024-01-25T12:40:20Z
dc.date.issued2018
dc.description.financeNie dotyczy
dc.description.number5
dc.description.volume16
dc.identifier.doi10.1142/S0219720018400218
dc.identifier.issn0219-7200
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/112637
dc.identifier.weblinkhttps://www.worldscientific.com/doi/abs/10.1142/S0219720018400218
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofJournal of Bioinformatics and Computational Biology
dc.relation.pages1840021
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enDeep coalescence
dc.subject.enmetagenomics
dc.subject.enspecies taxonomy
dc.subject.engene tree
dc.subject.enspecies tree
dc.titleMinimizing the deep coalescence cost
dc.typeJournalArticle
dspace.entity.typePublication