Study of local correlations in bacterial genes for use in the framework of hidden Markov models
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Computer-aided search for genes often relies on mathematical models based on the notion of hidden Markov chain. Here I propose using the selective correlation ratio to determine the local relationship required for compilation of such models. The case when a gene is presented as an amino acid sequence was calculated on the example of 11 annotated genomes. A number of nonexplicit relationships (presumably related to the properties of protein α-helix) have been revealed, which allows specific recommendations for constructing the models.
Key wordsbacterial genome local correlations selective correlation ratio
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