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Genomics Proteomics Bioinformatics. 2013 Jun;11(3):142-50. doi: 10.1016/j.gpb.2013.04.002. Epub 2013 May 17.

Computational identification of active enhancers in model organisms.

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  • 1CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

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.

Copyright © 2013. Production and hosting by Elsevier Ltd.

PMID:
23685394
[PubMed - indexed for MEDLINE]
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