One of the primary sources of complexity in cancer data is genomic information. The human genome consists of approximately 3 billion base pairs, and cancer often involves mutations in multiple genes. Techniques like whole-genome sequencing and RNA sequencing generate vast amounts of data that need to be analyzed to identify relevant mutations, gene expressions, and molecular pathways involved in cancer progression. This requires sophisticated bioinformatics tools and computational resources.
