14-09-2017, 02:56 PM
The identification of DNA motifs remains an active challenge for researchers in the field of bioinformatics. A considerable effort in this area was focused on understanding the evolution of the genome by identifying the DNA binding sites for the transcription factors. The evolution in genome sequencing has led to the emergence of numerous computational methods to find short segments of DNA, known as motifs.
In recent years, a considerable number of algorithms have been designed to identify new regulatory elements in DNA sequences. Most of the algorithms were developed with the scope to detect regulatory elements taking into account the regulatory regions of several co-regulated genes belonging to a single genome. Algorithms identify regulatory regions and look for overrepresented motifs that are classified as potential candidates for regulatory elements. Some algorithms use phylogenetic footprinting to identify well conserved sites between regulatory regions. Most algorithms perform more than multiple sequences or a complete gene. The gene is the fundamental unit of information inherited in deoxyribonucleic acid (DNA) and is defined as a section of base sequences that are used as a template for the copying process called transcription. The process of regulating gene expression is performed with the help of transcription factors by activating or inhibiting the transcription process. A major challenge in molecular biology is to fully understand the mechanism that regulates gene expression. An important task in this challenge is to identify DNA binding sites for transcription factors.
In recent years, a considerable number of algorithms have been designed to identify new regulatory elements in DNA sequences. Most of the algorithms were developed with the scope to detect regulatory elements taking into account the regulatory regions of several co-regulated genes belonging to a single genome. Algorithms identify regulatory regions and look for overrepresented motifs that are classified as potential candidates for regulatory elements. Some algorithms use phylogenetic footprinting to identify well conserved sites between regulatory regions. Most algorithms perform more than multiple sequences or a complete gene. The gene is the fundamental unit of information inherited in deoxyribonucleic acid (DNA) and is defined as a section of base sequences that are used as a template for the copying process called transcription. The process of regulating gene expression is performed with the help of transcription factors by activating or inhibiting the transcription process. A major challenge in molecular biology is to fully understand the mechanism that regulates gene expression. An important task in this challenge is to identify DNA binding sites for transcription factors.