Accurate identification of human Alu and non-Alu RNA editing sites.

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.

SUBMITTER: Ramaswami G 

PROVIDER: S-EPMC3662811 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature