*Association* Using rigorous statistical methods, MutMix infers mutation-miRNA association based on genome sequencing data of mRNA genes and RNA-Seq data of miRNAs. Presumable TF→miRNA relationships are evidenced with TransmiR. A surrogate CGES expression score is summarized for all miRNAs associated with the common mutated gene, and its prognosis predictability is assessed with respect to Disease-Specific Survival or Overall Survival. Intersection of mRNA-miRNA associations can be interrogated in either a cross-gene or a cross-cancer manner.

*Mutation* Mutations are tabulated and visually displayed. The tabular representation reveals the chromosome coordinates, host gene name, protein-coding disruption, tissue-specificity, and regulatory alternations (RBP/miRNA binding). A gene-body ideogram indicates the intron-exon linear structure marked with categorized mutations. A patient-mutation oncoprint resorts to the heatmap concept to visualize the occurrence of categorized mutations in diverse genes across individual patients.

*Network* mRNA-miRNA associations are visually represented in a network, which can be updated and exported to reflect the user’s interactive parametrization. Pleiotropic and/or confluent associations are more notable in the network representation than in the tabular form. The network can be centered on select protein-coding genes (forward query) or select miRNAs (reverse query).

*Disease* Disease associations for a set of miRNAs/mRNAs undergo an enrichment analysis (over-representation analysis), and the most prominent diseases are returned in a ranked list. Visualization of the top-ranking enriched diseases is provided.