Computer system "gene discovery" for promoter structure analysis.

This paper presents implementation of Data Mining and Knowledge Discovery techniques for searching 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.