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Just saw a review about NGS epigenetics applications in the relatively new journal Epigenetics. Best part is, the article is open access. Abstract below, and link to the PDF at the end.
Link to open access PDF. Kudo's to Epigenetics!
Epigenetics meets next-generation sequencing.
Park PJ.
Harvard Medical School Center for Biomedical Informatics, Harvard-Partners Center for Genetics and Genomics, HST Informatics Program at Children's Hospital Boston, Boston, Massachusetts, USA.
Next-generation sequencing is poised to unleash dramatic changes in every area of molecular biology. In the past few years, chromatin immunoprecipitation (ChIP) on tiled microarrays (ChIP-chip) has been an important tool for genome-wide mapping of DNA-binding proteins or histone modifications. Now, ChIP followed by direct sequencing of DNA fragments (ChIP-seq) offers superior data with less noise and higher resolution and is likely to replace ChIP-chip in the near future. We will describe advantages of this new technology and outline some of the issues in dealing with the data. ChIP-seq generates considerably larger quantities of data and the most challenging aspect for investigators will be computational and statistical analysis necessary to uncover biological insights hidden in the data.
Park PJ.
Harvard Medical School Center for Biomedical Informatics, Harvard-Partners Center for Genetics and Genomics, HST Informatics Program at Children's Hospital Boston, Boston, Massachusetts, USA.
Next-generation sequencing is poised to unleash dramatic changes in every area of molecular biology. In the past few years, chromatin immunoprecipitation (ChIP) on tiled microarrays (ChIP-chip) has been an important tool for genome-wide mapping of DNA-binding proteins or histone modifications. Now, ChIP followed by direct sequencing of DNA fragments (ChIP-seq) offers superior data with less noise and higher resolution and is likely to replace ChIP-chip in the near future. We will describe advantages of this new technology and outline some of the issues in dealing with the data. ChIP-seq generates considerably larger quantities of data and the most challenging aspect for investigators will be computational and statistical analysis necessary to uncover biological insights hidden in the data.