Genome Sequence-Independent Identification of RNA Editing Sites

High-throughput RNA sequencing (RNA-Seq) provides single-nucleotide information that makes it a powerful tool for prediction of RNA editome. A new method, GIREMI, predicts RNA editomes (mainly A-to-I editing) accurately and sensitively using a single RNA-Seq data set, which does not require sample-specific genome sequence data or high sequencing depth. Using GIREMI, we observed prevailing tissue-specificity of RNA editing and interesting evolutionary patterns of editing sites in human population.