- Home
- Publications
- Publication Search
- Publication Details
Title
Joint amalgamation of most parsimonious reconciled gene trees
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 31, Issue 6, Pages 841-848
Publisher
Oxford University Press (OUP)
Online
2014-11-08
DOI
10.1093/bioinformatics/btu728
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Bayesian Method for Analyzing Lateral Gene Transfer
- (2014) J. Sjostrand et al. SYSTEMATIC BIOLOGY
- The Inference of Gene Trees with Species Trees
- (2014) Gergely J. Szöllősi et al. SYSTEMATIC BIOLOGY
- Reconciliation and local gene tree rearrangement can be of mutual profit
- (2013) Thi Nguyen et al. Algorithms for Molecular Biology
- Most parsimonious reconciliation in the presence of gene duplication, loss, and deep coalescence using labeled coalescent trees
- (2013) Y.-C. Wu et al. GENOME RESEARCH
- Lateral Gene Transfer from the Dead
- (2013) Gergely J. Szöllősi et al. SYSTEMATIC BIOLOGY
- Efficient Exploration of the Space of Reconciled Gene Trees
- (2013) Gergely J. Szöllősi et al. SYSTEMATIC BIOLOGY
- The Estimation of Tree Posterior Probabilities Using Conditional Clade Probability Distributions
- (2013) Bret Larget SYSTEMATIC BIOLOGY
- Efficient algorithms for the reconciliation problem with gene duplication, horizontal transfer and loss
- (2012) Mukul S. Bansal et al. BIOINFORMATICS
- Unified modeling of gene duplication, loss, and coalescence using a locus tree
- (2012) M. D. Rasmussen et al. GENOME RESEARCH
- Genome-scale coestimation of species and gene trees
- (2012) B. Boussau et al. GENOME RESEARCH
- Phylogenetic modeling of lateral gene transfer reconstructs the pattern and relative timing of speciations
- (2012) G. J. Szollosi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- TreeFix: Statistically Informed Gene Tree Error Correction Using Species Trees
- (2012) Yi-Chieh Wu et al. SYSTEMATIC BIOLOGY
- MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
- (2012) Fredrik Ronquist et al. SYSTEMATIC BIOLOGY
- Models, algorithms and programs for phylogeny reconciliation
- (2011) J.-P. Doyon et al. BRIEFINGS IN BIOINFORMATICS
- Guided Tree Topology Proposals for Bayesian Phylogenetic Inference
- (2011) Sebastian Höhna et al. SYSTEMATIC BIOLOGY
- Jane: a new tool for the cophylogeny reconstruction problem
- (2010) Chris Conow et al. Algorithms for Molecular Biology
- Simultaneous Identification of Duplications and Lateral Gene Transfers
- (2010) A Tofigh et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A Bayesian Approach for Fast and Accurate Gene Tree Reconstruction
- (2010) M. D. Rasmussen et al. MOLECULAR BIOLOGY AND EVOLUTION
- Rapid evolutionary innovation during an Archaean genetic expansion
- (2010) Lawrence A. David et al. NATURE
- New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0
- (2010) Stéphane Guindon et al. SYSTEMATIC BIOLOGY
- PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating
- (2009) Nicolas Lartillot et al. BIOINFORMATICS
- Databases of homologous gene families for comparative genomics
- (2009) Simon Penel et al. BMC BIOINFORMATICS
- Simultaneous Bayesian gene tree reconstruction and reconciliation analysis
- (2009) O. Akerborg et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Species Tree Inference by Minimizing Deep Coalescences
- (2009) Cuong Than et al. PLoS Computational Biology
- An Improved General Amino Acid Replacement Matrix
- (2008) S. Q. Le et al. MOLECULAR BIOLOGY AND EVOLUTION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started