Genetic algorithm learning as a robust approach to RNA editing site prediction.

ABSTRACT:

Background

RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One form, known as C --> U editing, appears to exist in a wide range of organisms, but most instances of this form of RNA editing have been discovered serendipitously. With the large amount of genomic and transcriptomic data now available, a computational analysis could provide a more rapid means of identifying novel sites of C --> U RNA editing. Previous efforts have had some success but also some limitations. We present a computational method for identifying C --> U RNA editing sites in genomic sequences that is both robust and generalizable. We evaluate its potential use on the best data set available for the

SUBMITTER: Thompson J 

PROVIDER: S-EPMC1459874 | biostudies-literature | 2006 Mar

REPOSITORIES: biostudies-literature