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CpG islands: Algorithms and applications in methylation studies

期刊

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.bbrc.2009.03.076

关键词

CpG island; CpG cluster; CG clusters; Methylation; Epigenetics; Promoter; Prediction algorithm

资金

  1. NIH, National Library of Medicine [LM009598]
  2. Thomas F. and Kate Miller Jeffress Memorial Trust Fund
  3. American Cancer Society [IRG-73-001-31]

向作者/读者索取更多资源

Methylation occurs frequently at 5'-cytosine of the CpG dinucleotides in vertebrate genomes; however, this epigenetic feature is rarely observed in CpG islands (CGIs) or CpG clusters in the promoter regions of genes. Aberrant methylation of the promoter-associated CGIs might influence gene expression and cause carcinogenesis. Because of the functional importance, multiple algorithms have been available for identifying CGIs in a genome or a sequence. They can be categorized into the traditional algorithms (e.g., Gardiner-Garden and Frommer (1987), Takai and Jones (2002), and CpGPRoD (2002)) or statistical property based algorithms (CpGcluster (2006) and CG cluster (2007)). We reviewed the features of these algorithms and evaluated their performance on identifying functional CGIs using genome-wide methylation data. Moreover, identification of CGIs is an initial step in many recent studies for predicting methylation status as well as in the design of methylation detection platforms. We reviewed the benchmarks and features used in these studies. (C) 2009 Elsevier Inc. All rights reserved.

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