Cancer is one of the fastest evolving, ever changing and an adapting complex disease. In order to understand this complexity, there lies a need to study the snapshots of the tumor’s genetic make up. However, these snapshots need to be acquired frequently to understand the process behind the evolution of the tumor. Humongous amounts of data is generated as a result of the measurements underlying these snapshots. The important patterns identified in the specific cancers can be leveraged to develop models that diagnose and treat the disease. The complexity of the disease can be solved by data science, involving sequencing methods. This can be done with intelligent machines using the genomic data sets and artificial intelligence as a tool.