Accurate identification of human Alu and non-Alu RNA editing sites
Nature methods, 2012•nature.com
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.
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.
Abstract
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.
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