Simultaneous Identification of Duplications and Lateral Gene Transfers
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Removing noise from gene trees
WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
The tree nearest on average to a given set of trees
Problems of Information Transmission
Inferring evolutionary scenarios in the duplication, loss and horizontal gene transfer model
Logic and Program Semantics
Simultaneous Identification of Duplications, Losses, and Lateral Gene Transfers
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An optimal reconciliation algorithm for gene trees with polytomies
WABI'12 Proceedings of the 12th international conference on Algorithms in Bioinformatics
Accounting for gene tree uncertainties improves gene trees and reconciliation inference
WABI'12 Proceedings of the 12th international conference on Algorithms in Bioinformatics
RECOMB'13 Proceedings of the 17th international conference on Research in Computational Molecular Biology
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Tree reconciliation methods aim at estimating the evolutionary events that cause discrepancy between gene trees and species trees. We provide a discrete computational model that considers duplications, transfers and losses of genes. The model yields a fast and exact algorithm to infer time consistent and most parsimonious reconciliations. Then we study the conditions under which parsimony is able to accurately infer such events. Overall, it performs well even under realistic rates, transfers being in general less accurately recovered than duplications. An implementation is freely available at http://www.atgc-montpellier.fr/MPR.