Computational phylogenetics

process in bioinformatics that aligns (identifies equivalent sites within) molecular sequences

algorithm

Alignment of more than two molecular sequence

algorithm performs local sequence alignment

similar DNA, RNA or protein sequences within genomes or among species

clustering method in bioinformatics

UPGMA (unweighted pair group method with arithmetic mean) is a simple agglomerative (bottom-up) hierarchical clustering method. It also has a weighted variant, WPGMA, and they are generally attributed to Sokal and Michener.

thumb|400px|The BLOSUM62 matrix, the amino acids have been grouped and coloured based on Margaret Dayhoff|Margaret Dayhoff's classification scheme. Positive and zero values have been highlighted. In bioinformatics, the BLOSUM (BLOcks SUbstitution Matrix) matrix is a substitution matrix used for sequence alignment of proteins. BLOSUM matrices are used to score alignments between evolutionarily divergent protein sequences. They are based on local alignments. BLOSUM matrices were first introduced in a paper by Steven Henikoff and Jorja Henikoff. They scanned the BLOCKS database for very conserved

optimality criterion under which the phylogenetic tree that minimizes the total number of character-state changes is to be preferred; under this criterion, the shortest possible tree that explains the data is considered best

American phylogeneticist

application of computational algorithms, methods, and programs to phylogenetic analyses

combination of a likelihood function with some prior probabilities to infer the posterior probability distribution of trees given data

Method of DNA analysis

agglomerative hierarchical clustering method

Evolutionary Biologist (1958-)

model of changes in a sequence over evolutionary time