BRASERO: A Resource for Benchmarking RNA Secondary Structure Comparison Algorithms

Author:

Allali Julien12,Saule Cédric3,Chauve Cédric4,d’Aubenton-Carafa Yves5,Denise Alain36,Drevet Christine6,Ferraro Pascal12,Gautheret Daniel6,Herrbach Claire36,Leclerc Fabrice7,de Monte Antoine8,Ouangraoua Aida8,Sagot Marie-France9,Termier Michel6,Thermes Claude5,Touzet Hélène8

Affiliation:

1. LaBRI, UMR 5800 CNRS, Université Bordeaux, 351, Cours de la Libération, 33405 Talence Cédex, France

2. The Pacific Institute for the Mathematical Sciences, University of British Columbia, CNRS UMI 3069, 200-1933 West Mall Vancouver, BC, Canada V6T 1Z2

3. LRI, UMR 8623 CNRS, Université Paris-Sud and INRIA Saclay, 91405 Orsay Cédex, France

4. Department of Mathematics, Simon Fraser University, 8888 University drive, Burnaby, BC, Canada V5A 1S6

5. Centre de Génétique Moléculaire, UPR 3404 CNRS, Avenue de la Terrasse, Bât. 26, 91198 Gif-Sur-Yvette, France

6. IGM, CNRS UMR 8621, Université Paris-Sud, 91405 Orsay Cédex, France

7. MAEM, CNRS UMR 7567, Université Henri Poincaré, 1 Boulevard des Aiguillettes, BP 239, 54506 Vandoeuvre-Les-Nancy Cédex, France

8. LIFL, CNRS UMR 8022, Université Lille 1 and INRIA, 59655 Lille Cédex, France

9. Inria Rhône-Alpes and LBBE, UMR 5558 CNRS, Université Claude Bernard, Bât. Grégor Mendel, 43 Boulevard du 11 Novembre 1918, 69622 Villeurbanne Cédex, France

Abstract

The pairwise comparison of RNA secondary structures is a fundamental problem, with direct application in mining databases for annotating putative noncoding RNA candidates in newly sequenced genomes. An increasing number of software tools are available for comparing RNA secondary structures, based on different models (such as ordered trees or forests, arc annotated sequences, and multilevel trees) and computational principles (edit distance, alignment). We describe here the website BRASERO that offers tools for evaluating such software tools on real and synthetic datasets.

Funder

Agence Nationale de la Recherche

Publisher

Hindawi Limited

Subject

Computer Science Applications,Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering

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