Genomic data analysis involves sequencing the DNA of cancer cells to identify mutations, copy number variations, and other genetic alterations. Computational tools like variant calling algorithms, alignment tools, and annotation databases are used to process and interpret sequencing data. These analyses can reveal driver mutations, which are critical for cancer progression, and potential therapeutic targets.
