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?

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?

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?