Sequence based identification of RNA editing sites

RNA Biol. Mar-Apr 2010;7(2):248-52. doi: 10.4161/rna.7.2.11565. Epub 2010 Mar 17.

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.

Publication types

  • Review

MeSH terms

  • Animals
  • Base Sequence
  • Computational Biology
  • Humans
  • Molecular Sequence Data
  • RNA Editing / genetics*
  • Repetitive Sequences, Nucleic Acid / genetics
  • Sequence Analysis, RNA / methods*