The article deals with the whole tumor transcriptome as a tool for diagnosis, prognosis and therapy in precision oncology through computational analysis. The whole transcriptome allows gene expression to be analyzed at the mRNA level throughout the tumor. In precision oncology, it helps to identify specific expression profiles, tumor heterogeneity and interactions in the microenvironment. Computational analysis of the transcriptome supports the selection of appropriate therapy and the prediction of tumor resistance. This knowledge contributes to the discovery of new therapeutic targets and biomarkers. The method provides a more comprehensive view of the architecture of tumor tissue compared to conventional sequencing techniques.