Recent advances in NGS have made great impacts on how we analyze the cancer genomes and how we apply it for personalized medicine. The applications include genome wide SNPs and mutation identifications, GWAS studies using NGS, ChIP-seq, histone modification ChIP-seq, RNA-seq, identification of gene fusion events. There remain great challenges in how to analyze the data, and how to deal with complexities in cancers (e.g. heterogeneity). The speakers in this session will describe recent progress in several different aspects of cancer genomics.