Cargando…
ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data
A cell’s epigenome arises from interactions among regulatory factors—transcription factors and histone modifications—co-localized at particular genomic regions. We developed a novel statistical method, ChromNet, to infer a network of these interactions, the chromatin network, by inferring conditiona...
Autores principales: | Lundberg, Scott M., Tu, William B., Raught, Brian, Penn, Linda Z., Hoffman, Michael M., Lee, Su-In |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852466/ https://www.ncbi.nlm.nih.gov/pubmed/27139377 http://dx.doi.org/10.1186/s13059-016-0925-0 |
Ejemplares similares
-
MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
por: Chen, Yiwen, et al.
Publicado: (2011) -
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
por: Chen, Haojie, et al.
Publicado: (2022) -
De novo ChIP-seq analysis
por: He, Xin, et al.
Publicado: (2015) -
ChIP-Enrich: gene set enrichment testing for ChIP-seq data
por: Welch, Ryan P., et al.
Publicado: (2014) -
Picking ChIP-seq peak detectors for analyzing chromatin modification experiments
por: Micsinai, Mariann, et al.
Publicado: (2012)