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Abstract. We present an algorithm of clustering of many-dimensional objects, where only the distances between objects are used. Centers of classes are found with the aid of neuron-like procedure with lateral inhibition. The result of clustering does not depend on starting conditions. Our algorithm makes it possible to give an idea about classes that really exist in the empirical data. The results of computer simulations are presented.

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To understand the role of microRNA in genetic control of animal growth mechanisms, we performed bioinformatic analysis of the localization of microRNAs in introns and cis-regulatory regions of the somatotropic axis genes-GH1, GHRH, SST and IGF1 in Homo sapiens, Macaca mulatta, Pan troglodytes, Pongo abelii, Gorilla gorilla, Ovis aries, Bos Taurus, Loxodonta Africana, Oryctolagus cuniculus, Canis lupus, Rattus norvegicus and Mus musculus. The results showed a significant difference in copy number of investigated microRNAs in the somatotropic axis genes surroundings in all primates. Copies of the mir-566, mir-1273, mir-1268, hsa-mir-5096 and hsamir-3929 mature sequences were frequently observed in cis-regulatory regions of these genes. The greatest number of motifs in cis-regulatory regions and introns of the investigated genes was detected for the hsa-mir-5096 and hsa-mir-1268. We assume that the observed microRNAs may play an important role in the formation of morphological and physiological traits such as weight and height in mammals.

Background: Polymorphisms and disruption of the expression profile of miRNA genes are associated with systemic diseases (autoimmune and cardiovascular diseases). The aim of the study: To study the localization of miRNA binding sites to mRNA in cis-regulatory regions of genes and in the coding sequences of DNA (CDS) associated in our studies with early and late atherosclerosis, and to search for possible localization of binding sites to microRNAs with gene sites (PPARGC1A; LIPC; PON1; APOE; LPL; APOC3; EDN; TNFα; SERPINE1). Materials and methods: The search for homologous micro RNA motifs was carried out in the cisregulatory regions of the studied genes with the help of the bio-information package MEME Suite. Known miRNAs were taken from the miRBase database (http://mirbase.org/). Nucleotide sequences of cis-regulatory regions and gene introns were obtained from the NCBI database (http://www.ncbi.nlm.nih.gov/) using a set of scripts, IFITCH, designed to automatically retrieve data from NCBI sequences. The "miRBase" database was analyzed using automated search for binding sites in the original sequence using the MScanner classifier. 28645 microRNAs were registered (http://www.mirbase.org). Results: The results of the bioinformational search for the localization of motifs homologous to known microRNAs before and after the gene, as well as in the coding protein sequences and introns of the following genes: PON1, APOC3, LIPC, LPL, APOE, PPARGC1A, TNF, EDN, SERPIN showed that in genes and intergenic spaces there are a large number of motifs homologous to mature micro-RNA. The greatest absolute number of motifs is localized within the PPARGC1A gene-22 microRNAs. However, if we consider the relative frequency