title: Bioinformatic approaches for identification of A-to-I editing sites.
abstract: The first discoveries of mammalian A-to-I RNA editing have been serendipitous. In conjunction with the fast advancement in sequencing technology, systematic methods for prediction and detection of editing sites have been developed, leading to the discovery of thousands of A-to-I editing sites. Here we review the state-of-the-art of these methods and discuss future directions.
authors.affiliation: Raymond and Beverly Sackler School of Physics and Astronomy, Tel-Aviv University, Israel. elieis@post.tau.ac.il
authors.forename: Eli
authors.initials: E
authors.lastname: Eisenberg
mesh_terms: D019295:Computational Biology; D035683:MicroRNAs / Q000235:genetics; D017393:RNA Editing; D012091:Repetitive Sequences, Nucleic Acid
chemical_list: D035683:MicroRNAs