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Journal Article

EpiExplorer: Live Exploration and Global Analysis of Large Epigenomic Datasets

MPS-Authors
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Halachev,  Konstantin
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

Albrecht,  Felipe
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44148

Bock,  Christoph
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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http://genomebiology.com/2012/13/10/R96
(Publisher version)

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gb-2012-13-10-r96.pdf
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Citation

Halachev, K., Bast, H., Albrecht, F., Lengauer, T., & Bock, C. (2012). EpiExplorer: Live Exploration and Global Analysis of Large Epigenomic Datasets. Genome Biology, 13(10): R96, pp. 1-14. doi:10.1186/gb-2012-13-10-r96.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-C951-3
Abstract
ABSTRACT: Epigenome mapping consortia are generating resources of tremendous value for studying epigenetic regulation. To maximize their utility and impact, new tools are needed that facilitate interactive analysis of epigenome datasets. Here we describe EpiExplorer, a web tool for exploring genome and epigenome data on a genomic scale. We demonstrate EpiExplorer's utility by describing a hypothesis-generating analysis of DNA hydroxymethylation in relation to public reference maps of the human epigenome. All EpiExplorer analyses are performed dynamically within seconds, using an efficient and versatile text indexing scheme that we introduce to bioinformatics. EpiExplorer is available at http://epiexplorer.mpi-inf.mpg.de.