DNA methylation patterns are well known to vary substantially across cell types or tissues. Hence, existing normalization methods may not be optimal if they do not take this into account. We therefore present a new R package for normalization of data from the Illumina Infinium Human Methylation450 BeadChip (Illumina 450xe2x80x89K) built on the concepts in the recently published funNorm method, and introducing cell-type or tissue-type flexibility.