Sun Deqiang, Xi Yuanxin, Rodriguez Benjamin, Park Hyun Jung, Tong Pan, Meong Mira, Goodell Margaret A, Li Wei
Genome Biol. 2014 Feb 24;15(2):R38. doi: 10.1186/gb-2014-15-2-r38.
Bisulfite sequencing (BS-seq) is the gold standard for studying genome-wide DNA methylation. We developed MOABS to increase the speed, accuracy, statistical power and biological relevance of BS-seq data analysis. MOABS detects differential methylation with 10-fold coverage at single-CpG resolution based on a Beta-Binomial hierarchical model and is capable of processing two billion reads in 24 CPU hours. Here, using simulated and real BS-seq data, we demonstrate that MOABS outperforms other leading algorithms, such as Fisher's exact test and BSmooth. Furthermore, MOABS analysis can be easily extended to differential 5hmC analysis using RRBS and oxBS-seq. MOABS is available at http://code.google.com/p/moabs/.
亚硫酸氢盐测序(BS-seq)是研究全基因组DNA甲基化的金标准。我们开发了MOABS以提高BS-seq数据分析的速度、准确性、统计功效和生物学相关性。MOABS基于β-二项式分层模型以单CpG分辨率检测具有10倍覆盖度的差异甲基化,并且能够在24个CPU小时内处理20亿条 reads。在这里,使用模拟和真实的BS-seq数据,我们证明MOABS优于其他领先算法,如Fisher精确检验和BSmooth。此外,使用RRBS和oxBS-seq,MOABS分析可以轻松扩展到差异5hmC分析。可在http://code.google.com/p/moabs/获取MOABS。