IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence

Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence
View Sample PDF
Author(s): Guo-Cheng Yuan (Harvard School of Public Health, USA & Dana-Farber Cancer Institute, USA)
Copyright: 2013
Pages: 15
Source title: Bioinformatics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-3604-0.ch028

Purchase

View Prediction of Epigenetic Target Sites by Using Genomic DNA Sequence on the publisher's website for pricing and purchasing information.

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.

Related Content

Linkon Chowdhury, Md Sarwar Kamal, Shamim H. Ripon, Sazia Parvin, Omar Khadeer Hussain, Amira Ashour, Bristy Roy Chowdhury. © 2024. 20 pages.
Mousomi Roy. © 2024. 21 pages.
Nassima Dif, Zakaria Elberrichi. © 2024. 20 pages.
Pyingkodi Maran, Shanthi S., Thenmozhi K., Hemalatha D., Nanthini K.. © 2024. 16 pages.
Mohamed Nadjib Boufenara, Mahmoud Boufaida, Mohamed Lamine Berkane. © 2024. 16 pages.
Meroua Daoudi, Souham Meshoul, Samia Boucherkha. © 2024. 25 pages.
Zhongyu Lu, Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. © 2024. 56 pages.
Body Bottom