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Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence

Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence

Guo-Cheng Yuan
ISBN13: 9781609604912|ISBN10: 1609604911|EISBN13: 9781609604929
DOI: 10.4018/978-1-60960-491-2.ch008
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MLA

Yuan, Guo-Cheng. "Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence." Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications, edited by Limin Angela Liu, et al., IGI Global, 2011, pp. 187-201. https://doi.org/10.4018/978-1-60960-491-2.ch008

APA

Yuan, G. (2011). Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence. In L. Liu, D. Wei, Y. Li, & H. Lei (Eds.), Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications (pp. 187-201). IGI Global. https://doi.org/10.4018/978-1-60960-491-2.ch008

Chicago

Yuan, Guo-Cheng. "Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence." In Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications, edited by Limin Angela Liu, et al., 187-201. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-491-2.ch008

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Abstract

Epigenetic regulation provides an extra layer of gene control in addition to the genomic sequence and is critical for the maintenance of cell-type specific gene expression programs. Significant changes of epigenetic patterns have been linked to developmental stages, environmental exposure, ageing, and diet. However, the regulatory mechanisms for epigenetic recruitment, maintenance, and switch are still poorly understood. Computational biology provides tools to deeply uncover hidden connections and these tools have played a major role in shaping the current understanding of gene regulation, but its application in epigenetics is still in the infancy. This chapter reviews some recent developments of computational approaches to predict epigenetic target sites.

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