NDLI: ChIP-seq Data Plays an Important Role in a Cytosine-Based DNA Methylation Prediction Model

Content Provider	IEEE Xplore Digital Library
Author	Jie Lv Yan Zhang Yunfeng Qi Hongbo Liu Jiang Zhu Jianzhong Su Ruijie Zhang
Copyright Year	2009
Abstract	DNA methylation was found previously related with histone modifications. The relationship among DNA methylation and histone modifications is potentially identifiable by integrating ChIP-seq and methylation data. However, little has been addressed on this issue in literature. Predicting DNA methylation can largely avoid the high cost of bisulfite-converted DNA experiments and drawbacks of micro array-based approaches. The most important, biological studies can be designed in a more economical manner. In this study, we found the DNA methylation was strongly influenced by surrounding combinatorial enriched ChIP-seq derived features in genome-wide scale. As an application, a cytosine-based methylation prediction model is proposed to predict the methylation status. As a result, we found Lymph-specific genes were distinct from other kinds of genes around Transcription Start Sites, which confirmed that our model is tissue-specific.
Starting Page	33
Ending Page	36
File Size	338476
Page Count	4
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.708
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Sequences Biological system modeling Genomics Humans Predictive models tissue-specific Educational institutions DNA methylation model Bioinformatics Fuzzy systems
Content Type	Text
Resource Type	Article

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