Phylocomposer and phylodirector: analysis and visualization of transducer indel models
Author(s) -
Ian Holmes
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm432
Subject(s) - indel , string (physics) , computer science , probabilistic logic , tree (set theory) , hidden markov model , phylogenetic tree , transducer , visualization , algorithm , theoretical computer science , markov chain , path (computing) , data mining , mathematics , artificial intelligence , combinatorics , physics , machine learning , biology , biochemistry , quantum mechanics , gene , genotype , single nucleotide polymorphism , programming language , mathematical physics
Finite-state string transducers are probabilistic tools similar to Hidden Markov Models that can be systematically extended to large number of sequences related by indel and substitution processes on phylogenetic trees. The number of states in such models grows exponentially with the number of nodes in the tree, with the consequence that even quite small trees can be difficult to analyze or visualize. Here, we present two tools, phylocomposer and phylodirector, for working with string transducers. The former tool implements previously described composition algorithms for extending transducers to arbitrary tree topologies, while the latter generates short animations for arbitrary input alignments and phylogenetic trees, illustrating the state path through the composed transducer.
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