Cargando…
Integrative analysis of genomic, functional and protein interaction data predicts long-range enhancer-target gene interactions
Multicellular organismal development is controlled by a complex network of transcription factors, promoters and enhancers. Although reliable computational and experimental methods exist for enhancer detection, prediction of their target genes remains a major challenge. On the basis of available lite...
Autores principales: | Rödelsperger, Christian, Guo, Gao, Kolanczyk, Mateusz, Pletschacher, Angelika, Köhler, Sebastian, Bauer, Sebastian, Schulz, Marcel H., Robinson, Peter N. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074119/ https://www.ncbi.nlm.nih.gov/pubmed/21109530 http://dx.doi.org/10.1093/nar/gkq1081 |
Ejemplares similares
-
Predict long-range enhancer regulation based on protein–protein interactions between transcription factors
por: Wang, Hao, et al.
Publicado: (2021) -
A predictive modeling approach for cell line-specific long-range regulatory interactions
por: Roy, Sushmita, et al.
Publicado: (2015) -
Epigenomics in 3D: importance of long-range spreading and specific interactions in epigenomic maintenance
por: Jost, Daniel, et al.
Publicado: (2018) -
Mining for recurrent long-range interactions in RNA structures reveals embedded hierarchies in network families
por: Reinharz, Vladimir, et al.
Publicado: (2018) -
Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes
por: Ma, Shiyang, et al.
Publicado: (2021)