Accepted_test
Promoters, as regulatory elements of the genome, control gene expression by initiating transcription. Accurate identification of genome regulatory elements is essential for annotating genomes and understanding gene expression patterns. Despite numerous attempts to develop computational methods for identifying promoter elements, there are no reliable tools for recognizing unannotated regulatory sequences that do not produce false positives. Therefore, in silico predicted promoter sequences need experimental validation. In this study, we analyzed the promoter sequences of chromosome 1 of the rice Oryza sativa genome predicted using an algorithm based on alignment and a mathematical method for calculating statistically significant promoter classes. The sequences were analyzed for the presence of possible transcription start sites (5'-ends of potentially transcribed regions) near them in the 3' (downstream) direction. The state of chromatin accessibility in the region of potential promoters was also examined. As a result, potential promoter sequences located in the open region of chromatin and having a transcription start point near them were selected for their subsequent in vivo testing.