Universal chromatin state annotation of the mouse genome
preprint
OA: closed
Abstract
Genome-wide chromatin states learned from integrating genome-wide maps of multiple epigenetic marks within the same cell type have been widely used to generate genome annotations of individual cell types. An alternative strategy based on ‘stacked modeling’ can provide a single ‘universal’ chromatin state annotation based jointly on data from many cell types. In human, such an approach was recently demonstrated and the resulting chromatin state annotation, denoted full-stack, was shown to have complementary advantages to per-cell-type annotations. However, an analogous annotation has not been previously available in mouse. Here, we produce a chromatin state annotation for mouse based on 901 datasets assaying 14 chromatin marks in 26 different cell or tissue types. To characterize each chromatin state, we relate the states to other external annotations and compare them to analogously defined states in human. We expect the full-stack chromatin state annotation for mouse will be a useful resource for studying the genome of this key mammalian model organism.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00