학술논문

A survey on algorithms to characterize transcription factor binding sites.
Document Type
Article
Source
Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-16. 16p.
Subject
*TRANSCRIPTION factors
*BINDING sites
*DNA sequencing
*ALGORITHMS
Language
ISSN
1467-5463
Abstract
Transcription factors (TFs) are key regulatory proteins that control the transcriptional rate of cells by binding short DNA sequences called transcription factor binding sites (TFBS) or motifs. Identifying and characterizing TFBS is fundamental to understanding the regulatory mechanisms governing the transcriptional state of cells. During the last decades, several experimental methods have been developed to recover DNA sequences containing TFBS. In parallel, computational methods have been proposed to discover and identify TFBS motifs based on these DNA sequences. This is one of the most widely investigated problems in bioinformatics and is referred to as the motif discovery problem. In this manuscript, we review classical and novel experimental and computational methods developed to discover and characterize TFBS motifs in DNA sequences, highlighting their advantages and drawbacks. We also discuss open challenges and future perspectives that could fill the remaining gaps in the field. [ABSTRACT FROM AUTHOR]