[Statistical methods of comparative genomic analysis based on diffusion processes].

Comparative genomics is a powerful tool of genome functional specificity predictions and investigation of evolution specificity. Background of a large field of bioinformatics investigations is a computation of different scores of sequences and comparing them with a threshold. Comparative genomic analysis involves scores comparing for orthological groups of genetic objects. In this paper we represent a statistical approach to comparative genomic analysis, that based on investigation of diffusion in sequence space determined by neutral evolution of sequences. Using this approach we represent several statistics for selection pressure estimation and analyze statistics for several biological problems. We formulate technology of statistics applying to obtain new biological information. This approach is represented as Java-class library.

[Genome-wide identification of functional noncoding RNAs,].

Non-coding RNAs (ncRNAs) are functional transcripts that do not encode proteins. They are involved in many regulation pathways. The only general characteristic shared by many (but not all) known RNAs is folding into complex shapes that are crucial to function and thus should be conserved. This fact can be used for genome-wide prediction of ncRNAs. Our approach is based on computing of local base pairing probabilities and further maximizing of probability for a segment with the use of Nussinoff algorithm. We showed that it allows to efficiently predict known ncRNA and possibly some new ncRNAs.