Journal Article

Genome annotation in the presence of insertional RNA editing

Christina Beargie, Tsunglin Liu, Mark Corriveau, Ha Youn Lee, Jonatha Gott and Ralf Bundschuh

in Bioinformatics

Volume 24, issue 22, pages 2571-2578
Published in print November 2008 | ISSN: 1367-4803
Published online September 2008 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btn487
Genome annotation in the presence of insertional RNA editing

More Like This

Show all results sharing this subject:

  • Bioinformatics and Computational Biology

GO

Show Summary Details

Preview

Motivation: Insertional RNA editing renders gene prediction very difficult compared to organisms without such RNA editing. A case in point is the mitochondrial genome of Physarum polycephalum in which only about one-third of the number of genes that are to be expected given its length are annotated. Thus, gene prediction methods that explicitly take into account insertional editing are needed for successful annotation of such genomes.

Results: We annotate the mitochondrial genome of P.polycephalum using several different approaches for gene prediction in organisms with insertional RNA editing. We computationally validate our annotations by comparing the results from different methods against each other and as proof of concept experimentally validate two of the newly predicted genes. We more than double the number of annotated putative genes in this organism and find several intriguing candidate genes that are not expected in a mitochondrial genome.

Availability: The C source code of the programs described here are available upon request from the corresponding author.

Contact: bundschuh@mps.ohio-state.edu

Journal Article.  6593 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.