期刊
NATURE METHODS
卷 9, 期 6, 页码 579-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1982
关键词
-
资金
- Stanford University Department of Genetics
- US National Institutes of Health
We developed a computational framework to robustly identify RNA editing sites using transcriptome and genome deep-sequencing data from the same individual. As compared with previous methods, our approach identified a large number of Alu and non-Alu RNA editing sites with high specificity. We also found that editing of non-Alu sites appears to be dependent on nearby edited Alu sites, possibly through the locally formed double-stranded RNA structure.
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。
推荐
暂无数据