gcModul

gcModul is a software package used for the analysis of gene expression data with the aim of identifying and interpreting gene co-expression modules. It accepts quantitative expression measurements across multiple samples and, optionally, sample metadata, to explore patterns of coordinated gene activity. The core workflow involves constructing a gene co-expression network by measuring similarities between gene expression profiles and applying clustering or network-based methods to detect modules, which are groups of genes with correlated expression across the dataset.

For each detected module, gcModul provides a summarized representation, commonly referred to as a module eigengene or module profile, which captures the dominant expression trend of the genes within that module. The tool supports downstream analyses to interpret the biological context of modules, including functional enrichment against pathways, gene ontology terms, and regulatory motifs. It also enables the identification of hub genes—genes with high connectivity within a module—that may play central roles in the associated biological processes. Additionally, gcModul facilitates relating module activity to external traits or conditions, supporting module-trait analysis and visualization of module networks and associations.

gcModul is designed for researchers working with high-throughput transcriptomic data, such as microarray or RNA-seq experiments, and is intended to be adaptable to diverse organisms and experimental designs. The package emphasizes reproducible workflows by supporting export of results, module assignments, and visualizations, and it typically includes accompanying documentation and tutorials. Overall, gcModul helps generate testable hypotheses about gene regulation and prioritizes candidates for further experimental validation.