Estimating DNA methylation heterogeneity in bisulfite sequencing data

ABSTRACT: We extended the mathematical models of measuring biodiversity to estimate DNA methylation heterogeneity in a cell population. We propose a model-based approach (abundance-based, phylogeny-based and pairwise similarity-based heterogeneity) and consider similarity in DNA methylation patterns from individual cells to evaluate heterogeneity that overcomes biases due to missing data. We also applied commonly used non-model based method (methylation entropy) and other reported methods of estimating methylation heterogeneity such as single-cell based approach to evaluate methylation heterogeineity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE103859 | GEO | 2017/09/15

SECONDARY ACCESSION(S): PRJNA407317

REPOSITORIES: GEO