Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models.

ABSTRACT:

Motivation

Understanding how the genome encodes the regulatory logic of transcription is a main challenge of the post-genomic era, and can be overcome with the aid of customized computational tools.

Results

We report an automated framework for analyzing an ensemble of fits to data of a thermodynamics-based sequence-level model for transcriptional regulation. The fits are clustered accordingly with their intrinsic regulatory logic. A multiscale analysis enables visualization of quantitative features resulting from the deconvolution of the regulatory profile provided by multiple transcription factors interacting with the locus of a gene. Quantitative experimental data on reporters driven by the whole locus of the even-skipped gene in the blastoderm of Drosophila embryos was us

SUBMITTER: Sabino AU 

PROVIDER: S-EPMC12516311 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature