Cancer genomics involves studying the genetic changes that lead to cancer. HMMs are crucial here because they help in identifying copy number variations (CNVs), mutations, and other genetic alterations from sequencing data. By modeling the hidden states of the genome, researchers can better understand the genetic landscape of cancer and identify potential targets for therapy.
