Abstract: A system generates a visualization that represents progression of a cancer genome. To generate the visualization, the system obtains a genetic dataset derived from cancer cell samples of a patient and clinical data associated with the patient. A genomic data structure is generated to represent the genetic dataset, and clinical event data structures are generated to represent each of a plurality of clinical events based on the clinical data. The visualization includes interactive elements that are populated based on the genomic data structure and the clinical event data structures. When a user input associated with a first interactive element is detected, the system displays information associated with the first interactive element based on the genomic data structure or the clinical event data structures.

Abstract: The present invention generally relates to the methods and use of clonal evolution analysis of the kinetics and genetic alterations associated with the development of resistance to a therapy using whole-exome and deep targeted sequencing in treating patients in need thereof.