Olivier Gascuel leads a research group at LIRMM-CNRS, Montpellier. He is an associate editor of Systematic Biology and belongs to the editorial board of BMC-Bioinformatics, BMC-Evolutionary Biology, and BMC-Algorithms for Molecular Biology. He has published 110 papers and book chapters, and authored several widely used programs in phylogenetics and bioinformatics.

It is great value for graduate students and researchers in phylogeny, and it offers a wide field for applied mathematicians.

• Introduction ; 1. The minimum evolution distance-based approach of phylogenetic inference ; 2. Likelihood calculation in molecular phylogenetics ; 3. Bayesian inference in molecular phylogenetics ; 4. Statistical approaches to test involving phylogenetics ; 5. Mixture models in phylogenetic inference ; 6. Hadamard conjugation: an analytic tool for phylogenetics ; 7. Phylogenetic networks ; 8. Recontructing the duplication history of tandemly repeated sequences ; 9. Conserved segment statistics and rearrangement inferences in comparative genomics ; 10. The inversion distance problem ; 11. Genome rearrangement with gene families ; 12. Reconstructing phylogenies from gene-content and gene-order data ; 13. Distance-based genome rearrangement phylogeny ; 14. How much can evolved characters tell us about the tree that generated them?

Olivier Gascuel leads a research group at LIRMM-CNRS, Montpellier. He is an associate editor of Systematic Biology and belongs to the editorial board of BMC-Bioinformatics, BMC-Evolutionary Biology, and BMC-Algorithms for Molecular Biology. He has published 110 papers and book chapters, and authored several widely used programs in phylogenetics and bioinformatics.

It is great value for graduate students and researchers in phylogeny, and it offers a wide field for applied mathematicians.

• Introduction ; 1. The minimum evolution distance-based approach of phylogenetic inference ; 2. Likelihood calculation in molecular phylogenetics ; 3. Bayesian inference in molecular phylogenetics ; 4. Statistical approaches to test involving phylogenetics ; 5. Mixture models in phylogenetic inference ; 6. Hadamard conjugation: an analytic tool for phylogenetics ; 7. Phylogenetic networks ; 8. Recontructing the duplication history of tandemly repeated sequences ; 9. Conserved segment statistics and rearrangement inferences in comparative genomics ; 10. The inversion distance problem ; 11. Genome rearrangement with gene families ; 12. Reconstructing phylogenies from gene-content and gene-order data ; 13. Distance-based genome rearrangement phylogeny ; 14. How much can evolved characters tell us about the tree that generated them?

Olivier Gascuel leads a research group at LIRMM-CNRS, Montpellier. He is an associate editor of Systematic Biology and belongs to the editorial board of BMC-Bioinformatics, BMC-Evolutionary Biology, and BMC-Algorithms for Molecular Biology. He has published 110 papers and book chapters, and authored several widely used programs in phylogenetics and bioinformatics.

It is great value for graduate students and researchers in phylogeny, and it offers a wide field for applied mathematicians.

• Introduction ; 1. The minimum evolution distance-based approach of phylogenetic inference ; 2. Likelihood calculation in molecular phylogenetics ; 3. Bayesian inference in molecular phylogenetics ; 4. Statistical approaches to test involving phylogenetics ; 5. Mixture models in phylogenetic inference ; 6. Hadamard conjugation: an analytic tool for phylogenetics ; 7. Phylogenetic networks ; 8. Recontructing the duplication history of tandemly repeated sequences ; 9. Conserved segment statistics and rearrangement inferences in comparative genomics ; 10. The inversion distance problem ; 11. Genome rearrangement with gene families ; 12. Reconstructing phylogenies from gene-content and gene-order data ; 13. Distance-based genome rearrangement phylogeny ; 14. How much can evolved characters tell us about the tree that generated them?