ABSTRACT
DNA methylation, the most studied epigenetic marker is known to play regulatory roles in several biological processes such as cell cycle and metabolism, and diseases such as cancer and neurodegenerative disorders. Several high throughput technologies have been developed which allow researchers to perform genome-wide DNA methylation sequencing however drawing biological inference from the generated methylated data remains a limitation for the scientific community. In this review we have discussed concepts, computational tools, and databases available for analysis and interpreting DNA methylation data. The main strategy for computational analysis of DNA methylation data includes data processing and quality control followed by data visualization and statistical analysis and lastly validation and interpretation of methylation data. We have aimed to describe the pipeline involved in the analysis of genome-wide methylation studies and also highlighted some tools and databases that can make DNA methylation mapping more attainable for researchers with limited computation skills.
