CCorGsDB: A Database for Clock Correlated Genes in the Mouse and Human Central Nervous Systems

Abstract

We introduce CCorGsDB, a web-based tool that integrates co-expression networks filtered by circadian biomarkers to identify candidate clock-regulated genes in spatially defined regions of the mouse and human central nervous systems. Built using Weighted Gene Co-expression Network Analysis (WGCNA), CCorGsDB includes [~]16,000 genes for mouse and [~]37,000 for human, highlighting genes highly correlated with canonical clock markers. The tool incorporates disease associations and drug target information for compounds with short half-lives acting on the CNS, supporting chronopharmacological research. Users can explore region-specific data through an interactive interface offering query, visualization, and download options. CCorGsDB is freely accessible at https://famed.ufal.br/ccorgs.