4.4 Article

MOABS: model based analysis of bisulfite sequencing data

期刊

GENOME BIOLOGY
卷 15, 期 2, 页码 -

出版社

BMC
DOI: 10.1186/gb-2014-15-2-r38

关键词

-

资金

  1. CPRIT [RP110471-C3]
  2. NIH [R01HG007538]
  3. NATIONAL CANCER INSTITUTE [P30CA125123] Funding Source: NIH RePORTER
  4. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG007538] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R01DK092883] Funding Source: NIH RePORTER

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据