Published Paper Details:

To untangle the mechanisms that regulate gene expressions is still a vital challenge in biology that biologists face today. A significant task in this challenge is to recognize regulatory motifs or elements. The Regulatory motifs in DNA sequence discovery are a primary step in many systems for studying gene function. Regulatory Motifs are interpreted as short (6-8 bases long), repetitive patterns that have well-defined biological functions and features. As per early discussion, genetic activity is monitored in response to environmental changes. Regulatory Motifs are in charge of recruiting Transcription Factors, or regulatory proteins, to the required gene. Motifs are also recognized by micro RNAs, which bind the motifs given through nucleotide, that recognize motifs based on their GC content; and other RNAs, which use a combination of DNA sequence and structure. Once bound, they can activate or subdue the expression of the associated gene. With the current mathematical abilities, regulatory motif discovery and analysis have proceeded in the field of genomic studies. This paper presents a generalization of motif discovery algorithms with new sub-categories that facilitates creating a successful motif discovery algorithm. It also presents a summary of the comparison between them.