cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes

It remains challenging to predict regulatory variants in particular tissues or cell types due to highly context-specific gene regulation. By connecting large-scale epigenomic profiles to expression quantitative trait loci (eQTLs) in a wide range of human tissues/cell types, we identify critical chro...

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Detalles Bibliográficos
Autores principales: Li, Mulin Jun, Li, Miaoxin, Liu, Zipeng, Yan, Bin, Pan, Zhicheng, Huang, Dandan, Liang, Qian, Ying, Dingge, Xu, Feng, Yao, Hongcheng, Wang, Panwen, Kocher, Jean-Pierre A., Xia, Zhengyuan, Sham, Pak Chung, Liu, Jun S., Wang, Junwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356314/
https://www.ncbi.nlm.nih.gov/pubmed/28302177
http://dx.doi.org/10.1186/s13059-017-1177-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356314/
https://www.ncbi.nlm.nih.gov/pubmed/28302177
http://dx.doi.org/10.1186/s13059-017-1177-3

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