Computational Prediction of RNA Editing Sites: Successes and Challenges Ahead

Title: Computational Prediction of RNA Editing Sites: Successes and Challenges Ahead

Volume: 3 Issue: 3

Author(s): Shuba Gopal

Affiliation:

Keywords: RNA editing, A-to-I editing, C-to-U editing, computational methods

Abstract: RNA editing is an unusual phenomenon in which RNA transcripts are modified so that they no longer match their original, genomic template. The process occurs in a wide variety of eukaryotes from plant mitochondria to humans. Recent advances in computational and experimental methods have made it possible to survey entire genomes for candidate edit sites. Such efforts have yielded many promising results while raising tantalizing new questions. Key features of extant methods and the open questions and issues that have been raised by these efforts are highlighted in this review.

Cite this article as:

Gopal Shuba, Computational Prediction of RNA Editing Sites: Successes and Challenges Ahead, Current Bioinformatics 2008; 3 (3) . https://dx.doi.org/10.2174/157489308785909241