In clinical settings, IGV is an invaluable tool for the interpretation of cancer genomes. By visualizing patient-specific genomic data, oncologists can identify mutations that may influence the course of treatment. For instance, IGV can be used to detect actionable mutations that are targets for specific targeted therapies. Additionally, IGV's ability to compare patient data with reference genomes can help in identifying novel mutations that might be contributing to a patient's cancer, potentially leading to improved diagnostic and therapeutic approaches.
