title: Computational identification of active enhancers in model organisms.
abstract: As a class of cis-regulatory elements, enhancers were first identified as the genomic regions that are able to markedly increase the transcription of genes nearly 30years ago. Enhancers can regulate gene expression in a cell-type specific and developmental stage specific manner. Although experimental technologies have been developed to identify enhancers genome-wide, the design principle of the regulatory elements and the way they rewire the transcriptional regulatory network tempo-spatially are far from clear. At present, developing predictive methods for enhancers, particularly for the cell-type specific activity of enhancers, is central to computational biology. In this review, we survey the current computational approaches for active enhancer prediction and discuss future directions.
authors.affiliation: CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Chengqi
authors.initials: C
authors.lastname: Wang
authors.forename: Michael Q
authors.initials: MQ
authors.lastname: Zhang
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods; D004742:Enhancer Elements, Genetic; D044127:Epigenesis, Genetic; D053263:Gene Regulatory Networks; D016678:Genome; D023281:Genomics; D006801:Humans; D008957:Models, Genetic; D011485:Protein Binding; D013045:Species Specificity; D014157:Transcription Factors / Q000235:genetics / Q000378:metabolism; D014158:Transcription, Genetic
chemical_list: D014157:Transcription Factors