Li S.,New York Medical College |
Garrett-Bakelman F.,New York Medical College |
Perl A.E.,University of Pennsylvania |
Luger S.M.,University of Pennsylvania |
And 13 more authors.
Genome Biology | Year: 2014
We describe methclone, a novel method to identify epigenetic loci that harbor large changes in the clonality of their epialleles (epigenetic alleles). Methclone efficiently analyzes genome-wide DNA methylation sequencing data. We quantify the changes using a composition entropy difference calculation and also introduce a new measure of global clonality shift, loci with epiallele shift per million loci covered, which enables comparisons between different samples to gauge overall epiallelic dynamics. Finally, we demonstrate the utility of methclone in capturing functional epiallele shifts in leukemia patients from diagnosis to relapse. Methclone is open-source and freely. © 2014 Li et al.