title: Algorithmic approaches for identification of RNA editing sites.
abstract: Recently a number of groups have introduced computational methods for the detection of A-to-I RNA editing sites. These approaches have resulted in finding thousands of editing sites within the genomic repeats, as well as a few novel genetic recoding sites. We review these recent advancements, emphasizing the principles underlying the various methods used. Possible directions for extending these methods are discussed.
authors.affiliation: School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
authors.forename: Erez Y
authors.initials: EY
authors.lastname: Levanon
authors.forename: Eli
authors.initials: E
authors.lastname: Eisenberg
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology; D006801:Humans; D020071:Interspersed Repetitive Sequences / Q000235:genetics; D017393:RNA Editing; D017423:Sequence Analysis, RNA