Composition Vector Method Based on Maximum Entropy Principle for Sequence Comparison

The composition vector (CV) method is an alignment-free method for sequence comparison. Because of its simplicity when compared with multiple sequence alignment methods, the method has been widely discussed lately; and some formulas based on probabilistic models, like Hao's and Yu's formul...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2012-01, Vol.9 (1), p.79-87
Hauptverfasser:	Chan, R. H., Chan, T. H., Hau Man Yeung, Wang, R. W.
Format:	Artikel
Sprache:	eng
Schlagworte:	alignment-free sequence comparison Animals Bacteria - classification Bacteria - genetics Bioinformatics Composition vector method Computational Biology - methods Computational modeling Computer Simulation Databases, Genetic Entropy Estimation Humans Markov Chains maximum entropy principle Models, Genetic Optimization optimization model phylogenetics Phylogeny Sequence Analysis, DNA - methods Strain Studies
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