Unknown

Dataset Information

Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework.


ABSTRACT: Enhancers are short non-coding DNA sequences outside of the target promoter regions that can be bound by specific proteins to increase a gene's transcriptional activity, which has a crucial role in the spatiotemporal and quantitative regulation of gene expression. However, enhancers do not have a specific sequence motifs or structures, and their scattered distribution in the genome makes the identification of enhancers from human cell lines particularly challenging. Here we present a novel, stacked multivariate fusion framework called SMFM, which enables a comprehensive identification and analysis of enhancers from regulatory DNA sequences as well as their interpretation. Specifically, to characterize the hierarchical relationships of enhancer sequences, multi-source biological information

SUBMITTER: Wang Y 

PROVIDER: S-EPMC9836277 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature