Enhancer modeling uncovers transcriptional signatures of individual cardiac cell states in Drosophila

Here we used discriminative training methods to uncover the chromatin, transcription factor (TF) binding and sequence features of enhancers underlying gene expression in individual cardiac cells. We used machine learning with TF motifs and ChIP data for a core set of cardiogenic TFs and histone modi...

Descripción completa

Detalles Bibliográficos
Autores principales: Busser, Brian W., Haimovich, Julian, Huang, Di, Ovcharenko, Ivan, Michelson, Alan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330375/
https://www.ncbi.nlm.nih.gov/pubmed/25609699
http://dx.doi.org/10.1093/nar/gkv011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330375/
https://www.ncbi.nlm.nih.gov/pubmed/25609699
http://dx.doi.org/10.1093/nar/gkv011

Ejemplares similares