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  1. UPGMA is a clock-requiring algorithm similar to neighbor-joining Algorithm: { Connect the two most similar sequences { Assign the distance between them evenly to the two branches { Rewrite the distance matrix replacing those two sequences with their average { Break ties at random { Continue until all sequences are connected This is too vulne...

  2. By default IQ-TREE computes empirical state frequencies from the alignment by counting, but one can also estimate the frequencies by maximum-likelihood with+ Fointhemodelname: iqtree -s example.phy -m GTR+G+Fo. For amino-acid alignments, IQ-TREE use the empirical frequencies specified in the model. Ifyouwantfrequenciesascountedfromthealignment, ...

  3. Phylogenetic Reconstruction: Distance Matrix Methods. Bent Petersen. Slides by Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark. (Slightly extended version for course 36611, April 2019) Recap: From lecture #1. Trees: meaning.

  4. Align Sequences then Compute Substitution Matrix, Compute Pairwise distance matrix, Construct ML Tree, and Find Gene Duplication

  5. Distance Methods. COMP 571. Luay Nakhleh, Rice University. Evolutionary models and distance corrections. Distance-based methods. Evolutionary Models and Distance Correction. Pairwise Distances. Calculating the distance between two sequences is important for at least two reasons: it’s the first step in distance-based phylogeny reconstruction.

  6. Distance matrix methods. A major family of phylogenetic methods has been the distance matrix methods, intro duced by Cavalli-Sforza and Edwards (1967) and by Fitch and Margoliash (1967; see also Horne, 1967). They were influenced by the clustering algorithms of Sokal and Sneath (1963).

  7. Distance-based phylogeny problem. Input: distance matrix of pairwise distances for N species. Goal: find a tree consistent with the distance matrix. This means that the sum of edge lengths connecting each pair of leaves ij corresponds to a distance Mij.

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