Retrieving Chromatin Patterns from Deep Sequencing Data Using Correlation Functions.

ABSTRACT: Epigenetic modifications and other chromatin features partition the genome on multiple length scales. They define chromatin domains with distinct biological functions that come in sizes ranging from single modified DNA bases to several megabases in the case of heterochromatic histone modifications. Due to chromatin folding, domains that are well separated along the linear nucleosome chain can form long-range interactions in three-dimensional space. It has now become a routine task to map epigenetic marks and chromatin structure by deep sequencing methods. However, assessing and comparing the properties of chromatin domains and their positional relationships across data sets without a priori assumptions remains challenging. Here, we introduce multiscale correlation evaluation (MCORE), which

SUBMITTER: Molitor J 

PROVIDER: S-EPMC5300847 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature