NucleoMap: A computational tool for identifying nucleosomes in ultra-high resolution contact maps.
Ontology highlight
ABSTRACT: Although poorly positioned nucleosomes are ubiquitous in the eukaryotic genome, they are difficult to identify with existing nucleosome identification methods. Recently available enhanced high-throughput chromatin conformation capture techniques such as Micro-C, DNase Hi-C, and Hi-CO characterize nucleosome-level chromatin proximity, probing the positions of mono-nucleosomes and the spacing between nucleosome pairs at the same time, enabling nucleosome profiling in poorly positioned regions. Here we develop a novel computational approach, NucleoMap, to identify nucleosome positioning from ultra-high resolution chromatin contact maps. By integrating nucleosome read density, contact distances, and binding preferences, NucleoMap precisely locates nucleosomes in both prokaryotic and eukaryotic
SUBMITTER: Huang Y
PROVIDER: S-EPMC9321407 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA