Welcome to QDMR!
QDMR (Quantitative Differentially Methylated Regions) is a quantitative approach to quantify methylation difference and identify DMRs from genome-wide methylation profiles by adapting Shannon entropy. The platform-free and species-free nature of QDMR makes it potentially applicable to various methylation data. This approach provides an effective tool for the high-throughput identification of the functional regions involved in epigenetic regulation.
The current version of QDMR provide users three both online platform and standalone software for methylation data. And the command line version of QDMR is also launched recently to facilitate the analysis of massive methylation data. QDMR works from the imported methylation data across a number of samples. It performs all of the steps in following the workflow in Tutorial, including Import Data, Quantify Difference, Identify DMRs, Measure Specificity and Export All Results. Its graphical tools also allow the user to manually inspect the raw methylation levels across samples any time.
Please cite QDMR as you use it for your work: [Abstract] [Full Text] [PDF]
Yan Zhang, Hongbo Liu, Jie Lv, Xue Xiao, Jiang Zhu, Xiaojuan Liu, Jianzhong Su, Xia Li, Qiong Wu, Fang Wang and Ying Cui (2011) QDMR: a quantitative method for identification of differentially methylated regions by entropy. Nucleic Acids Res, 39, e58.
QDMR has been cited for 77 times since its publication to Sep. 2017 by papers published in multiple journals including Nature.
As reviewed by Shafi et al., Brief Bioinform (2017), QDMR is the world first DMR software.
SMART: New tool for bisulfite sequencing data analysis New!
SMART is a newly developed tool for deep analysis of DNA methylation data detected by bisulfite sequencing platforms. This tool is focused on three main functions including de novo identification of DMRs by genome segmentation, identification of DMRs from predefined regions of interest, and identification of differentially methylated CpG sites.
