首页> 中文期刊> 《基因组蛋白质组与生物信息学报:英文版》 >Computational Identification of Active Enhancers in Model Organisms

Computational Identification of Active Enhancers in Model Organisms

         

摘要

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 30 years 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.

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