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Genome-Wide Analysis of Epigenetic Modifications

Genome-Wide Analysis of Epigenetic Modifications

作     者:梁守丹 

作者机构:Department of Bioinformatics and Computational Biology The University of Texas M.D. Anderson Cancer Center Houston 

出 版 物:《Journal of Computer Science & Technology》 (计算机科学技术学报(英文版))

年 卷 期:2010年第25卷第1期

页      面:35-41页

核心收录:

学科分类:0808[工学-电气工程] 07[理学] 08[工学] 09[农学] 071007[理学-遗传学] 090102[农学-作物遗传育种] 0710[理学-生物学] 0832[工学-食品科学与工程(可授工学、农学学位)] 0835[工学-软件工程] 0901[农学-作物学] 0836[工学-生物工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 083203[工学-农产品加工及贮藏工程] 

基  金:supported by US NIH/NCI under Grant No. 5 K25CA123344-02 

主  题:epigenetics non-coding DNA DNA methylations histone modifications 

摘      要:In plants and animals, gene expression can be altered by changes that do not alter the sequence of nucleotides in DNA but rather modify the chemical structure of either the DNA or the histones that interact with the DNA. These so-called epigenetic modifications are not transient, but persist through cell divisions. Rapidly advancing technologies, such as next-generation DNA sequencing, have dramatically increased our ability to survey epigenetic markers throughout an entire genome. These techniques are revealing in great detail that the many forms and stages of cancer are characterized by a massive number of epigenetic changes. Interpreting such epigenetic marks in cell differentiation and in carcinogenesis is computationally challenging. We review several examples of epigenetic data analysis and discuss the need for computational methods that will enable us to learn from the data the relationships between different kinds of histone modifications and DNA methylation.

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