Assess ability to analyze functional consequences of somatic mutations in cancer by integrating matched genomic, transcriptomic, and proteomic datasets; tasks include interpreting variant annotations and allele frequencies, linking mutations to differential gene expression and protein abundance or phosphorylation, applying statistical and network-based integration methods to prioritize driver events, and recognizing confounders (tumor purity, batch effects) and validation strategies.