Computational epigenetics uses bioinformatic methods to complement experimental research in epigenetics. Due to the recent explosion of epigenome datasets, computational methods play an increasing role in all areas of epigenetic research.
Research in computational epigenetics comprises the development and application of bioinformatic methods for solving epigenetic questions, as well as computational data analysis and theoretical modeling in the c...
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Computational epigenetics uses bioinformatic methods to complement experimental research in epigenetics. Due to the recent explosion of epigenome datasets, computational methods play an increasing role in all areas of epigenetic research.
Research in computational epigenetics comprises the development and application of bioinformatic methods for solving epigenetic questions, as well as computational data analysis and theoretical modeling in the context of epigenetics.
Various experimental techniques have been developed for genome-wide mapping of epigenetic information, the most widely used being ChIP-on-chip, ChIP-seq and bisulfite sequencing. All of these methods generate large amounts of data and require efficient ways of data processing and quality control by bioinformatic methods.
A substantial amount of bioinformatic research has been devoted to the prediction of epigenetic information from characteristics of the genome sequence. Such predictions serve a dual purpose. First,...
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