Unknown

Dataset Information

Methods for discovering genomic loci exhibiting complex patterns of differential methylation.


ABSTRACT:

Background

Cytosine methylation is widespread in most eukaryotic genomes and is known to play a substantial role in various regulatory pathways. Unmethylated cytosines may be converted to uracil through the addition of sodium bisulphite, allowing genome-wide quantification of cytosine methylation via high-throughput sequencing. The data thus acquired allows the discovery of methylation 'loci'; contiguous regions of methylation consistently methylated across biological replicates. The mapping of these loci allows for associations with other genomic factors to be identified, and for analyses of differential methylation to take place.

Results

The segmentSeq R package is extended to identify methylation loci from high-throughput sequencing data from multiple experimental conditi

SUBMITTER: Hardcastle TJ 

PROVIDER: S-EPMC5604413 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature