A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis-Reference-Cited by-同舟云学术

A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis

Published:2008-07 Issue:7 Volume:26 Page:779-785
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Down Thomas A,Rakyan Vardhman K,Turner Daniel J,Flicek Paul,Li Heng,Kulesha Eugene,Gräf Stefan,Johnson Nathan,Herrero Javier,Tomazou Eleni M,Thorne Natalie P,Bäckdahl Liselotte,Herberth Marlis,Howe Kevin L,Jackson David K,Miretti Marcos M,Marioni John C,Birney Ewan,Hubbard Tim J P,Durbin Richard,Tavaré Simon,Beck Stephan

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt1414.pdf

Reference44 articles.

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2. Bird, A. DNA methylation patterns and epigenetic memory. Genes Dev. 16, 6–21 (2002).

3. Beck, S. & Rakyan, V.K. The methylome: approaches for global DNA methylation profiling. Trends Genet. 24, 231–237 (2008).

4. Tompa, R. et al. Genome-wide profiling of DNA methylation reveals transposon targets of CHROMOMETHYLASE3. Curr. Biol. 12, 65–68 (2002).

5. Lippman, Z. et al. Role of transposable elements in heterochromatin and epigenetic control. Nature 430, 471–476 (2004).

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