Prediction of CpG-island function: CpG clustering vs. sliding-window methods
BMC GenomicsPublished 1 January 2010Open access
Michael Hackenberg, Guillermo Barturen, Pedro Carpena, Pedro L. Luque‐Escamilla, Christopher Previti, José Luis Tejera Oliver
Citations51
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Abstract
The main difference between sliding-window approaches and clustering methods is the length of the predicted islands. Short islands, often differentially methylated, are almost exclusively predicted by CpGcluster. This suggests that CpGcluster may be the algorithm of choice to explore the function of these short, but putatively functional CpG islands.
Keywords
Biochemistry, Genetics and Molecular Biology
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