| Literature DB >> 35600920 |
Xianfu Yi1,2, Menghan Luo1, Xiangling Feng1, Yao Zhou1, Jianhua Wang1, Mulin Jun Li1,3.
Abstract
Precise identification of context-specific transcriptional regulators (TRs) cooperation facilitates the understanding of complex gene regulation. However, previous methods are highly reliant on the availability of ChIPped TRs. Here, we provide a protocol for running 3DCoop, a pipeline for computational inference of cell type-specific TR cooperation in 3D chromatin by integrating TR motifs, open chromatin profiles, gene expression, and chromatin loops. 3DCoop provides a feasible solution to study the potential interplay among TRs across multiple human or mouse tissue/cell types. For complete details on the use and execution of this protocol, please refer to Yi et al. (2021).Entities:
Keywords: Bioinformatics; Gene Expression; Genetics; Genomics; Systems biology
Mesh:
Substances:
Year: 2022 PMID: 35600920 PMCID: PMC9114683 DOI: 10.1016/j.xpro.2022.101382
Source DB: PubMed Journal: STAR Protoc ISSN: 2666-1667