Skip Navigation


Bioinformatics Advance Access originally published online on November 22, 2007
Bioinformatics 2008 24(2):172-175; doi:10.1093/bioinformatics/btm573
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow All Versions of this Article:
24/2/172    most recent
btm573v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Laslett, D.
Right arrow Articles by Canbäck, B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Laslett, D.
Right arrow Articles by Canbäck, B.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences

Dean Laslett 1 and Björn Canbäck 2,*

1Murdoch University, Perth, Western Australia, Australia and 2Björn Canbäck Bioinformatik, Vindögatan 66, 257 33 Rydebäck, Sweden

*To whom correspondence should be addressed.


  Abstract

Motivation: Mitochondrial genomes encode their own transfer RNAs (tRNAs). These are often degenerate in sequence and structure compared to tRNAs in their bacterial ancestors. This is one of the reasons why current tRNA gene predictor programs perform poorly identifying mitochondrial tRNA genes. As a consequence there is a need for a new program with the specific aim of predicting these tRNAs.

Results: In this study, we present the software ARWEN that identifies tRNA genes in metazoan mitochondrial nucleotide sequences. ARWEN detects close to 100% of previously annotated genes.

Availability: An online version, software for download and test results are available at www.acgt.se/online.html

Contact: bcanback{at}acgt.se

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Thomas Lengauer

Received on June 21, 2007; revised on November 13, 2007; accepted on November 13, 2007

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.