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        <identifier>oai:drops-oai.dagstuhl.de:9307</identifier>
        <datestamp>2024-03-06T10:44:00Z</datestamp>
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          <dc:title>Reconciling Multiple Genes Trees via Segmental Duplications and Losses</dc:title>
          <dc:creator>Dondi, Riccardo</dc:creator>
          <dc:creator>Lafond, Manuel</dc:creator>
          <dc:creator>Scornavacca, Celine</dc:creator>
          <dc:subject>Gene trees/species tree reconciliation</dc:subject>
          <dc:subject>phylogenetics</dc:subject>
          <dc:subject>computational complexity</dc:subject>
          <dc:subject>fixed-parameter algorithms</dc:subject>
          <dc:description>Reconciling gene trees with a species tree is a fundamental problem to understand the evolution of gene families. Many existing approaches reconcile each gene tree independently. However, it is well-known that the evolution of gene families is interconnected. In this paper, we extend a previous approach to reconcile a set of gene trees with a species tree based on segmental macro-evolutionary events, where segmental duplication events and losses are associated with cost delta and lambda, respectively. We show that the problem is polynomial-time solvable when delta &lt;= lambda (via LCA-mapping), while if delta &gt; lambda the problem is NP-hard, even when lambda = 0 and a single gene tree is given, solving a long standing open problem on the complexity of the reconciliation problem. On the positive side, we give a fixed-parameter algorithm for the problem, where the parameters are delta/lambda and the number d of segmental duplications, of time complexity O(ceil[delta/lambda]^d * n * delta/lambda). Finally, we demonstrate the usefulness of this algorithm on two previously studied real datasets: we first show that our method can be used to confirm or refute hypothetical segmental duplications on a set of 16 eukaryotes, then show how we can detect whole genome duplications in yeast genomes.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Riccardo Dondi and Manuel Lafond and Celine Scornavacca</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 113, 18th International Workshop on Algorithms in Bioinformatics (WABI 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.WABI.2018.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-93079</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2018.5</dc:identifier>
          <dc:language>eng</dc:language>
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