An Adaptation of the Wavelet Transformation Process for Detecting DMRs in DNA

The detection of differentially methylated regions (DMRs) among different DNA samples has become a key aspect of DNA analysis. In previous works, we proposed a software suite based on the wavelet transform for DNA methylation analysis. Nevertheless, one of the problems that usually faces DNA methylation analysis is the low coverage (reliability) of the DNA samples, which may produce significant noise in the detection of DMRs. In this paper, we propose an adaptation of the wavelet transformation process, in such a way that it takes into account the coverage for each DNA base. The results show that the proposed transform makes significantly more sensitive the process of DMR detection, without increasing the number of false positives.