The mitochondrial genome may display instability due to mutations in key components of the machinery the replicates mitochondrial DNA. This well-established in relation to disease-causing heritable mutations, but less is known about the role and scale of mitochondria DNA (mtDNA) instability in cancer. We want to analyze large volumes of cancer genomics data with respect to large deletions or duplication in mtDNA. A computational pipeline has been established and thoroughly evaluated. However, high-performance computing is needed to carry out the project on actual data. We will use publicly available sequencing data generated by The Cancer Genome Atlas and other efforts.