dockerpjhuang/iwgcna repository overview

iWGCNA: Integrative Weighted Gene Co-expression Network Analysis Platform

Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used approach for identifying biologically meaningful gene co-expression patterns associated with phenotypic traits, with rapidly growing adoption driven by large-scale RNA-seq studies. However, standard WGCNA workflows are computationally intensive and fragmented, limiting interactive analysis and integrated interpretation. To address these challenges, we developed iWGCNA, an OpenBLAS-accelerated implementation that reduces network construction time from over 70 minutes to under 3 minutes on a representative dataset. Building on this optimized backend, the iWGCNA Web Server provides a unified platform for fast co-expression analysis, functional enrichment, interactive network visualization, and integrative heatmaps, enabling scalable and reproducible WGCNA analyses through a single web interface.

https://appliedbioinformatics.notion.site/iWGCNA_Documentation-2cd160e47a6980e3a0abe769e96eed7b?source=copy_link⁠