Identifying Cell Type-Specific Transcription Factors by Integrating ChIP-seq and eQTL Data–Application to Monocyte Gene Regulation

We describe a novel computational approach to identify transcription factors (TFs) that are candidate regulators in a human cell type of interest. Our approach involves integrating cell type-specific expression quantitative trait locus (eQTL) data and TF data from chromatin immunoprecipitation-to-ta...

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Detalles Bibliográficos
Autores principales: Choudhury, Mudra, Ramsey, Stephen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156548/
https://www.ncbi.nlm.nih.gov/pubmed/28008225
http://dx.doi.org/10.4137/GRSB.S40768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156548/
https://www.ncbi.nlm.nih.gov/pubmed/28008225
http://dx.doi.org/10.4137/GRSB.S40768

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