Literature DB >> 26955051

DTL-RnB: Algorithms and Tools for Summarizing the Space of DTL Reconciliations.

W Ma, D Smirnov, J Forman, A Schweickart, C Slocum, S Srinivasan, R Libeskind-Hadas.   

Abstract

Phylogenetic tree reconciliation is an important technique for reconstructing the evolutionary histories of species and genes and other dependent entities. Reconciliation is typically performed in a maximum parsimony framework and the number of optimal reconciliations can grow exponentially with the size of the trees, making it difficult to understand the solution space. This paper demonstrates how a small number of reconciliations can be found that collectively contain the most highly supported events in the solution space. While we show that the formal problem is NP-complete, we give a approximation algorithm, experimental results that indicate its effectiveness, and the new DTL-RnB software tool that uses our algorithms to summarize the space of optimal reconciliations (www.cs.hmc.edu/dtlrnb).

Mesh:

Year:  2016        PMID: 26955051     DOI: 10.1109/TCBB.2016.2537319

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  5 in total

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Authors:  David Schaller; Manuel Lafond; Peter F Stadler; Nicolas Wieseke; Marc Hellmuth
Journal:  J Math Biol       Date:  2021-07-03       Impact factor: 2.259

2.  Efficiently sparse listing of classes of optimal cophylogeny reconciliations.

Authors:  Yishu Wang; Arnaud Mary; Marie-France Sagot; Blerina Sinaimeri
Journal:  Algorithms Mol Biol       Date:  2022-02-15       Impact factor: 1.405

3.  DTL reconciliation repair.

Authors:  Weiyun Ma; Dmitriy Smirnov; Ran Libeskind-Hadas
Journal:  BMC Bioinformatics       Date:  2017-03-14       Impact factor: 3.169

4.  Hierarchical clustering of maximum parsimony reconciliations.

Authors:  Ross Mawhorter; Ran Libeskind-Hadas
Journal:  BMC Bioinformatics       Date:  2019-11-27       Impact factor: 3.169

5.  An efficient exact algorithm for computing all pairwise distances between reconciliations in the duplication-transfer-loss model.

Authors:  Santi Santichaivekin; Ross Mawhorter; Ran Libeskind-Hadas
Journal:  BMC Bioinformatics       Date:  2019-12-17       Impact factor: 3.169

  5 in total

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