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Efficient error correction algorithms for gene tree reconciliation based on duplication, duplication and loss, and deep coalescence.

, , and . BMC Bioinform., 13 (S-10): S11 (2012)

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The Deep Coalescence Consensus Tree Problem is Pareto on Clusters., , and . ISBRA, volume 6674 of Lecture Notes in Computer Science, page 172-183. Springer, (2011)Constructing and Employing Tree Alignment Graphs for Phylogenetic Synthesis., , and . CoRR, (2015)Algorithms for Knowledge-Enhanced Supertrees., , and . ISBRA, volume 7292 of Lecture Notes in Computer Science, page 263-274. Springer, (2012)Locating Multiple Gene Duplications through Reconciled Trees., , , and . RECOMB, volume 4955 of Lecture Notes in Computer Science, page 273-284. Springer, (2008)Extracting phylogenetic signals from multi-labeled gene trees and its significance for species tree construction., , , and . BCB, page 3-12. ACM, (2014)Heuristics for the Gene-Duplication Problem: A Theta ( n ) Speed-Up for the Local Search., , , and . RECOMB, volume 4453 of Lecture Notes in Computer Science, page 238-252. Springer, (2007)A Natural Language Processing Pipeline to Extract Phenotypic Data from Formal Taxonomic Descriptions with a Focus on Flagellate Plants., , , , , and . ICBO, volume 2285 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)An ILP solution for the gene duplication problem., , , and . BMC Bioinform., 12 (S-1): S14 (2011)Consensus properties for the deep coalescence problem and their application for scalable tree search., , and . BMC Bioinform., 13 (S-10): S12 (2012)Dispersal predicts hybrid zone widths across animal diversity: Implications for species borders under incomplete reproductive isolation, , and . American Naturalist, 196 (1): 9-28 (July 2020)