RNA Gene Prediction

Abstract

The rapid growth of sequenced genomes and the discovery of numerous novel RNA species has made the development of methods for the computational identification of genes encoding functional RNA a high priority. Recent developments of algorithms for RNA gene prediction are based on diverse criteria, including location of promoters and terminators, sequence conservation among related genomes, RNA baseā€pairing and nucleotide composition.

Keywords: functional RNA; gene finding; genomics; bioinformatics; machine learning

Figure 1.

Comparison of RNA and protein genes in prokaryotes. In the RNA gene, there are no ribosome binding sites, no start or stop codons, and no triplet code.

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How to Cite close
Holbrook, Stephen R, Carter, Richard J, and Meraz, Richard F(Sep 2005) RNA Gene Prediction. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1038/npg.els.0005271]