Automated generation of context-specific gene regulatory networks with a weighted approach in Drosophila melanogaster.

ABSTRACT: The regulation of gene expression is a key factor in the development and maintenance of life in all organisms. Even so, little is known at whole genome scale for most genes and contexts. We propose a method, Tool for Weighted Epigenomic Networks in Drosophila melanogaster (Fly T-WEoN), to generate context-specific gene regulatory networks starting from a reference network that contains all known gene regulations in the fly. Unlikely regulations are removed by applying a series of knowledge-based filters. Each of these filters is implemented as an independent module that considers a type of experimental evidence, including DNA methylation, chromatin accessibility, histone modifications and gene expression. Fly T-WEoN is based on heuristic rules that reflect current knowledge on gene

SUBMITTER: Murgas L 

PROVIDER: S-EPMC8193463 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature