AbstractSummaryWe present ROBUST-Web which implements our recently presented ROBUST disease module mining algorithm in a user-friendly web application. ROBUST-Web features seamless downstream disease module exploration via integrated gene set enrichment analysis, tissue expression annotation, and visualization of drug–protein and disease–gene links. Moreover, ROBUST-Web includes bias-aware edge costs for the underlying Steiner tree model as a new algorithmic feature, which allow to correct for study bias in protein–protein interaction networks and further improves the robustness of the computed modules.Availability and implementationWeb application:https://robust-web.net. Source code of web application and Python package with new bias-aware edge costs:https://github.com/bionetslab/robust-web,https://github.com/bionetslab/robust_bias_aware.