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A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation. (2017)

First Author: Rackham OJ

Attributed to: The Alan Turing Institute funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1534/genetics.116.195008

PubMed Identifier: 28213474

Publication URI: http://europepmc.org/abstract/MED/28213474

Type: Journal Article/Review

Volume: 205

Parent Publication: Genetics

Issue: 4

ISSN: 0016-6731