Phylogenetic analysis shows the evolutionary relationship among various biological species based upon similarities and differences in their physical and genetics characteristics. Phylogenetics analysis mainly used in the field of Bioinformatics and systematics. Phylogenetic analysis undergo into two major components like phylogeny inference and character & rate analysis. Phylogeny inference is undergoes branching orders and ultimately the evolutionary relationship between genes, population and species. Character and rate analysis using phylogenies as analytical framework for rigorous understanding of evolution of various traits and condition of interest . Phylogenetics analysis uses computational methods like clustering algorithms and optimality approaches. Clustering algorithms uses pair wise distance and which the algorithm itself defines the tree selection criterion. Optimality approaches uses distance data , first it defines an optimality criterion and then use a specific algorithm for finding trees with the best value for the objective function.
- Track 1-1 Molecular Phylogenetics
- Track 2-2 Phylogenetic Inference
- Track 3-3 Exotic Algorithms
- Track 4-4 Heuristic Algorithms
- Track 5-5 Clustering Methods
- Track 6-6 Molecular Sequencing