DNA methylation is a major epigenetic modifications studied. The Illumina Infinium platform HumanMethylation450 offers the lowest cost to interrogate the methylation status of ~ 480.000 CpG dinucleotides distributed throughout the genome. To study the methylation pattern, the data are extracted by software GenomeStudio and can be analyzed in software or exported for statistical analysis usually performed in one of many pipelines described in the literature. The problem of differential methylation in the analysis is to identify the end of CpGs with statistical significance, but isolated, is not reliably the biological phenomenon of DNA methylation. In our work, we propose a differential methylation analysis that considers an interdependent relationship between CpGs. Our pipeline uses normalization and correction proposed by Nizar Touleimat and is divided into two main parts: use of the method IMA and method SEeD. We modified the IMA pipeline for importing standardized data and determination of differentially methylated regions between the two groups using Student's t test and correction by FDR. The purpose of the SEeD is based on the construction of CpGs cores adjacent in the genome, based on selection of CpGs with confidence values of the analysis MedOr from 80% to 99%, and the methylation pattern of difference between groups concordant (gain or loss) for CpGs constituents of each seed. Thus, pellets were generated high confidence in the identification of differentially methylated regions.