Back to Search
Start Over
ChromGene: gene-based modeling of epigenomic data.
- Source :
-
Genome biology [Genome Biol] 2023 Sep 07; Vol. 24 (1), pp. 203. Date of Electronic Publication: 2023 Sep 07. - Publication Year :
- 2023
-
Abstract
- Various computational approaches have been developed to annotate epigenomes on a per-position basis by modeling combinatorial and spatial patterns within epigenomic data. However, such annotations are less suitable for gene-based analyses. We present ChromGene, a method based on a mixture of learned hidden Markov models, to annotate genes based on multiple epigenomic maps across the gene body and flanks. We provide ChromGene assignments for over 100 cell and tissue types. We characterize the mixture components in terms of gene expression, constraint, and other gene annotations. The ChromGene method and annotations will provide a useful resource for gene-based epigenomic analyses.<br /> (© 2023. BioMed Central Ltd., part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1474-760X
- Volume :
- 24
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Genome biology
- Publication Type :
- Academic Journal
- Accession number :
- 37679846
- Full Text :
- https://doi.org/10.1186/s13059-023-03041-5