SEGCOND predicts putative transcriptional condensate-associated genomic regions by integrating multi-omics data.

ABSTRACT:

Motivation

The compartmentalization of biochemical reactions, involved in the activation of gene expression in the eukaryotic nucleus, leads to the formation of membraneless bodies through liquid-liquid phase separation. These formations, called transcriptional condensates, appear to play important roles in gene regulation as they are assembled through the association of multiple enhancer regions in 3D genomic space. To date, we are still lacking efficient computational methodologies to identify the regions responsible for the formation of such condensates, based on genomic and conformational data.

Results

In this work, we present SEGCOND, a computational framework aiming to highlight genomic regions involved in the formation of transcriptional condensates. SEGCOND is flexib

SUBMITTER: Klonizakis A 

PROVIDER: S-EPMC9805567 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature