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Journal Articles BMC Bioinformatics Year : 2009

PhyloPattern: regular expressions to identify complex patterns in phylogenetic trees.

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Abstract

BACKGROUND: To effectively apply evolutionary concepts in genome-scale studies, large numbers of phylogenetic trees have to be automatically analysed, at a level approaching human expertise. Complex architectures must be recognized within the trees, so that associated information can be extracted. RESULTS: Here, we present a new software library, PhyloPattern, for automating tree manipulations and analysis. PhyloPattern includes three main modules, which address essential tasks in high-throughput phylogenetic tree analysis: node annotation, pattern matching, and tree comparison. PhyloPattern thus allows the programmer to focus on: i) the use of predefined or user defined annotation functions to perform immediate or deferred evaluation of node properties, ii) the search for user-defined patterns in large phylogenetic trees, iii) the pairwise comparison of trees by dynamically generating patterns from one tree and applying them to the other. CONCLUSION: PhyloPattern greatly simplifies and accelerates the work of the computer scientist in the evolutionary biology field. The library has been used to automatically identify phylogenetic evidence for domain shuffling or gene loss events in the evolutionary histories of protein sequences. However any workflow that relies on phylogenetic tree analysis, could be automated with PhyloPattern.
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inserm-00663932 , version 1 (27-01-2012)

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Philippe Gouret, Julie Thompson, Pierre Pontarotti. PhyloPattern: regular expressions to identify complex patterns in phylogenetic trees.. BMC Bioinformatics, 2009, 10 (1), pp.298. ⟨10.1186/1471-2105-10-298⟩. ⟨inserm-00663932⟩
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