STAR-PROTOCOLS-D-21-00834

Identifying germline differentially methylated regions (DMRs) in outbred animals remains a challenge as collecting sufficient single-nucleotide polymorphisms (SNPs) from individuals for genome-wide allelic analysis is both time and resource consuming. To overcome this difficulty, we developed two computational methods, TARSII and CARSII, which allow accurate prediction of germline DMRs independent of SNPs. Furthermore, we introduce an easy and quick way to validate the predicted germline DMRs. Our strategy will greatly facilitate de novo identification of germline DMRs in outbred animals.