| Literature DB >> 19422923 |
Eena Jakó1, Eszter Ari, Péter Ittzés, Arnold Horváth, János Podani.
Abstract
A novel discrete mathematical approach is proposed as an additional tool for molecular systematics which does not require prior statistical assumptions concerning the evolutionary process. The method is based on algorithms generating mathematical representations directly from DNA/RNA or protein sequences, followed by the output of numerical (scalar or vector) and visual characteristics (graphs). The binary encoded sequence information is transformed into a compact analytical form, called the Iterative Canonical Form (or ICF) of Boolean functions, which can then be used as a generalized molecular descriptor. The method provides raw vector data for calculating different distance matrices, which in turn can be analyzed by neighbor-joining or UPGMA to derive a tree, or by principal coordinates analysis to get an ordination scattergram. The new method and the associated software for inferring phylogenetic trees are called the Boolean analysis or BOOL-AN.Mesh:
Year: 2009 PMID: 19422923 DOI: 10.1016/j.ympev.2009.04.019
Source DB: PubMed Journal: Mol Phylogenet Evol ISSN: 1055-7903 Impact factor: 4.286