SPECTRUM OF TEXT INFORMATION-CONTENT IN THE RNA SEQUENCE OF THE VESICULAR STOMATITIS-VIRUS

A new strategy to recognize patterns in the DNA sequences with functional significance is proposed. The strategy is based on the general definition of any individual organism as a Gibbsian ensemble of identical personal DNA molecules. This approach provides application of the methods of statistical thermodynamics of irreversible steady processes to genome informatics. The random processes theory and its Markov chains approximation lead in this approach directly to the definition of the generalized concept of evolution entropy and to the genuine measure of text information content in the sequences. Computer-assisted proofs of the existence of the nonequilibrium steady state conditions in genome molecule were obtained by investigation of the special type balance relations in the vesicular stomatitis virus (VSV) RNA sequence. The main maxima of the text information content were decoded and denominated. The established coding principles are connected with deviations from equilibrium conditions and from equipartition.