English: This is a workflow that demonstrates the general strategy in a MeDIP-seq experiment. Particularly, the example investigates cancer as a general source of disease condition; however, the starting source can range from different tissue types or different time points. This diagram outlines, very briefly, the steps in MeDIP-seq including the use of software for aligning short reads depicted at the "High-throughput Sequencing" step. At the anlysis stage, a graph can be used to visualize and compare methylation levels between experimental sample (i.e. cancer/disease state, tissue-specific, time-specific, etc.) and the control (i.e. normal/blood cells, baseline time-point, normal tissue, etc.). The peaks show in the plot can essentially represent the frequency or short reads that have been aligned to the particular region in the genome. The more reads that cover a particular region, then the higher the methylation level. This can be explained by MeDIP having enriched for methylated DNA at this region. The plot and data in this diagram is entirely simulated and does not represent real MeDIP-seq data; this is to simply display typical visualization that can be used during MeDIP-seq analysis.