EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions.

ABSTRACT: Long distance enhancers can physically interact with promoters to regulate gene expression through formation of enhancer-promoter (E-P) interactions. Identification of E-P interactions is also important for profound understanding of normal developmental and disease-associated risk variants. Although the state-of-art predictive computation methods facilitate the identification of E-P interactions to a certain extent, currently there is no efficient method that can meet various requirements of usage. Here we developed EPIXplorer, a user-friendly web server for efficient prediction, analysis and visualization of E-P interactions. EPIXplorer integrates 9 robust predictive algorithms, supports multiple types of 3D contact data and multi-omics data as input. The output from EPIXplorer is scored,

SUBMITTER: Tang L 

PROVIDER: S-EPMC9252822 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature