Applications of alignment-free methods in epigenomics.

Brief Bioinform

Dipartimento di Matematica e Informatica, Via Archirafi 34, 90123 Palermo-Italy. Guo-Cheng Yuan, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA. E-mail:

Published: May 2014

Epigenetic mechanisms play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have supported a role of DNA sequences in recruitment of epigenetic regulators. Alignment-free methods have been applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles. Here, we review recent advances in such applications, including the methods to map DNA sequence to feature space, sequence comparison and prediction models. Computational studies using these methods have provided important insights into the epigenetic regulatory mechanisms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017331PMC
http://dx.doi.org/10.1093/bib/bbt078DOI Listing

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