Back to search

Article

A Bayesian approach for analysis of whole-genome bisulphite sequencing data identifies disease-associated changes in DNA methylation

2016-02-29

Abstract excerpt

<h4>ABSTRACT</h4> DNA methylation is a key epigenetic modification involved in gene regulation whose contribution to disease susceptibility remains to be fully understood. Here, we present a novel Bayesian smoothing approach (called ABBA) to detect differentially methylated regions (DMRs) from whole-genome bisulphite sequencing (WGBS). We also show how this approach can be leveraged to identify disease-associated...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9e83502d-67f0-5a97-938b-958eb6ec3dcd
DOI
10.1101/041715
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Bayesian approach for analysis of whole-genome bisulphite sequencing data identifies disease-associated changes in DNA methylationDOI 10.1101/041715
Select a neighboring publication to make it the new centre.