title: Sequence based identification of RNA editing sites.
abstract: RNA editing diversifies the human transcriptome beyond the genomic repertoire. Recent years have proven a strategy based on genomics and computational sequence analysis as a powerful tool for identification and characterization of RNA editing. In particular, analysis of the human transcriptome has resulted in the identification of thousands of A-to-I editing sites within genomic repeats, as well as a few hundred sites located outside repeats. We review these recent advancements, emphasizing the principles underlying the various methods used. Possible directions for extending these methods are discussed.
authors.affiliation: Raymond and Beverly Sackler School of Physics and Astronomy, Tel-Aviv University, Tel Aviv, Israel.
authors.forename: Eli
authors.initials: E
authors.lastname: Eisenberg
authors.forename: Jin Billy
authors.initials: JB
authors.lastname: Li
authors.forename: Erez Y
authors.initials: EY
authors.lastname: Levanon
mesh_terms: D000818:Animals; D001483:Base Sequence; D019295:Computational Biology; D006801:Humans; D008969:Molecular Sequence Data; D017393:RNA Editing / Q000235:genetics*; D012091:Repetitive Sequences, Nucleic Acid / Q000235:genetics; D017423:Sequence Analysis, RNA / Q000379:methods*