Abstract: This paper presents implementation of Data Mining and Knowledge
Discovery techniques for search-ing for regularities in tables of context
features of DNA sequences involved in regulation of transcription. The goal is
to discover regularities that relate nucleotide sequences to the functional
classes of these sequences. The search patterns for regularities have been
constructed in the first-order logic augmented by probabilistic estimates. To
this aim, the PC software system Gene Discovery has been
designed. This system accepts molecular-genetical data retrieved from a
database by using SQL queries. Nucleotide sequences of promoters of several
functional systems were extracted from the TRRD database
(http://wwwmgs.bionet.nsc.ru/mgs/gnw/trrd/) and analysed. The data in-clude
nucleotide sequences of erythroid-specific gene promoters, endocrine system
gene promoters, promoter regions of the genes controlling cell cycle, promoter
of genes regulating lipid metabolism, and muscle-specific gene promoters.
Several regularities that relate the nucleotide sequences in the regulatory DNA
and their location relative to the transcription start with each functional
class have been found.
