(1) The document discusses integrating heterogeneous biomedical data such as clinical data, 'omics data, biomedical literature, and drugs to gain a more complete understanding of diseases and therapeutics. (2) It describes how the GRIB group mines, integrates, filters, annotates, analyzes, and visualizes different data types to enable integrative bioinformatics. (3) As an example, it discusses how the group analyzed gene-disease networks from the DisGeNET database to reveal functional modules underlying different disease types and identify disease comorbidities.