MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data

作者：Cui, Xiaodong^*; Zhang, Lin; Meng, Jia; Rao, Manjeet K.; Chen, Yidong; Huang, Yufei

来源：IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(2): 526-534.

DOI：10.1109/TCBB.2015.2403355

• N6-Methyladenosine (m(6)A)
• beta-binomial modeling
• differential RNA methylation
• MeTDiff

N6-Methyladenosine (m(6)A) transcriptome methylation is an exciting new research area that just captures the attention of research community. We present in this paper, MeTDiff, a novel computational tool for predicting differential m6A methylation sites from Methylated RNA immunoprecipitation sequencing (MeRIP-Seq) data. Compared with the existing algorithm exomePeak, the advantages of MeTDiff are that it explicitly models the reads variation in data and also devices a more power likelihood ratio test for differential methylation site prediction. Comprehensive evaluation of MeTDiff's performance using both simulated and real datasets showed that MeTDiff is much more robust and achieved much higher sensitivity and specificity over exomePeak. The R package "MeTDiff" and additional details are available at: https://github.com/compgenomics/MeTDiff

• 出版日期2018-3
• 单位中国矿业大学（北京）; 西交利物浦大学