Explore cancer somatic mutation analysis using the MAFtools R package in this comprehensive 40-minute tutorial. Learn to analyze and visualize cancer genomic data, starting with an introduction to R and package installation. Master techniques for importing and manipulating Mutation Annotation Format (MAF) files, including manual import and accessing TCGA data. Discover various visualization methods such as oncoplots, lollipop plots, and rainfall plots to interpret mutation patterns. Dive into advanced topics like copy number variation analysis, somatic interaction detection, and cancer driver identification. Gain insights into survival analysis, comparing cancer cohorts, and interpreting clinical data. Perfect for bioinformaticians and researchers seeking to enhance their understanding of cancer genomics and mutation analysis using R.