Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCBB.2010.77
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dc.titleComputing a smallest multilabeled phylogenetic tree from rooted triplets
dc.contributor.authorGuillemot, S.
dc.contributor.authorJansson, J.
dc.contributor.authorSung, W.-K.
dc.date.accessioned2013-07-04T07:41:54Z
dc.date.available2013-07-04T07:41:54Z
dc.date.issued2011
dc.identifier.citationGuillemot, S., Jansson, J., Sung, W.-K. (2011). Computing a smallest multilabeled phylogenetic tree from rooted triplets. IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (4) : 1141-1147. ScholarBank@NUS Repository. https://doi.org/10.1109/TCBB.2010.77
dc.identifier.issn15455963
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39451
dc.description.abstractWe investigate the computational complexity of inferring a smallest possible multilabeled phylogenetic tree (MUL tree) which is consistent with each of the rooted triplets in a given set. This problem has not been studied previously in the literature. We prove that even the very restricted case of determining if there exists a MUL tree consistent with the input and having just one leaf duplication is an NP-hard problem. Furthermore, we show that the general minimization problem is difficult to approximate, although a simple polynomial-time approximation algorithm achieves an approximation ratio close to our derived inapproximability bound. Finally, we provide an exact algorithm for the problem running in exponential time and space. As a by-product, we also obtain new, strong inapproximability results for two partitioning problems on directed graphs called ACYCLIC PARTITION and ACYCLIC TREE-PARTITION. © 2011 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TCBB.2010.77
dc.sourceScopus
dc.subjectacyclic tree-partition
dc.subjectdynamic programming.
dc.subjectinapproximability
dc.subjectMUL tree
dc.subjectPhylogenetics
dc.subjectrooted triplet
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/TCBB.2010.77
dc.description.sourcetitleIEEE/ACM Transactions on Computational Biology and Bioinformatics
dc.description.volume8
dc.description.issue4
dc.description.page1141-1147
dc.identifier.isiut000290449000024
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