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Nucleic Acids Research Advance Access published online on October 23, 2009

Nucleic Acids Research, doi:10.1093/nar/gkp882
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Methods Online

CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes

Jianzhong Su, Yan Zhang*, Jie Lv, Hongbo Liu, Xiaoyan Tang, Fang Wang, Yunfeng Qi, Yujia Feng and Xia Li*

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China

*To whom correspondence should be addressed. Tel/Fax: +86 451 866 67543; Email: yanyou1225{at}yahoo.com.cn

Correspondence may also be addressed to Xia Li. Tel/Fax: +86 451 866 15922; Email: lixia{at}hrbmu.edu.cn

Received May 22, 2009. Revised September 30, 2009. Accepted October 2, 2009.

CpG islands (CGIs) are CpG-rich regions compared to CpG-depleted bulk DNA of mammalian genomes and are generally regarded as the epigenetic regulatory regions in association with unmethylation, promoter activity and histone modifications. Accurate identification of CpG islands with epigenetic regulatory function in bulk genomes is of wide interest. Here, the common features of functional CGIs are identified using an average mutual information method to differentiate functional CGIs from the remaining CGIs. A new approach (CpG mutual information, CpG_MI) was further explored to identify functional CGIs based on the cumulative mutual information of physical distances between two neighboring CpGs. Compared to current approaches, CpG_MI achieved the highest prediction accuracy. This approach also identified new functional CGIs overlapping with gene promoter regions which were missed by other algorithms. Nearly all CGIs identified by CpG_MI overlapped with histone modification marks. CpG_MI could also be used to identify potential functional CGIs in other mammalian genomes, as the CpG dinucleotide contents and cumulative mutual information distributions are almost the same among six mammalian genomes in our analysis. It is a reliable quantitative tool for the identification of functional CGIs from bulk genomes and helps in understanding the relationships between genomic functional elements and epigenomic modifications.


The authors wish it to be known that, in their opinion, the first three authors should be regarded as joint First Authors.


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