Dynamic evolution of clonal epialleles revealed by methclone. Academic Article uri icon

Overview

abstract

  • 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 available at https://code.google.com/p/methclone.

publication date

  • September 27, 2014

Research

keywords

  • DNA Methylation
  • Epigenesis, Genetic
  • Software

Identity

PubMed Central ID

  • PMC4242486

Scopus Document Identifier

  • 84929173375

Digital Object Identifier (DOI)

  • 10.1186/1471-2105-14-244

PubMed ID

  • 25260792

Additional Document Info

volume

  • 15

issue

  • 9