A closer look at RNA editing

Abstract

Recent advances in high-throughput sequencing technology have made it possible to study RNA editing on a genome-wide scale. But realizing the potential of this approach requires stringent data analysis methods that control for genomic variation, sequencing errors and biases introduced by read-mapping procedures. In this issue, Peng et al. introduce such methods and apply them to conduct a careful, large-scale study of RNA editing in the transcriptome of a Han Chinese individual. These data provide the first reliable map of RNA edits in a person.

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