%0 Journal Article
%T BRASERO: A Resource for Benchmarking RNA Secondary Structure Comparison Algorithms
%A Julien Allali
%A C¨¦dric Saule
%A C¨¦dric Chauve
%A Yves dˇŻAubenton-Carafa
%A Alain Denise
%A Christine Drevet
%A Pascal Ferraro
%A Daniel Gautheret
%A Claire Herrbach
%A Fabrice Leclerc
%A Antoine de Monte
%A Aida Ouangraoua
%A Marie-France Sagot
%A Michel Termier
%A Claude Thermes
%A H¨¦l¨¨ne Touzet
%J Advances in Bioinformatics
%D 2012
%I Hindawi Publishing Corporation
%R 10.1155/2012/893048
%X 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. 1. Introduction Motivated by the fundamental role of RNAs, and especially of small noncoding RNAs, several methods for high-throughput generation of noncoding RNA candidates have been developed recently [1¨C3]. A fundamental problem is then to infer functional annotation for such putative RNA genes [4, 5] which often involves RNA structure comparisons. Most approaches to compare RNA structures focus on the secondary structure, an intermediate level between the sequence and the full three-dimensional structure, which is both tractable from a computational point of view and relevant from a functional genomics point of view. The problem we consider here is the following: given a new RNA secondary structure (the query) and a database of known and annotated RNA secondary structures which of these known structures display most structural features similar to the query? Databases such as RFAM [6] or RNA STRAND [7] come naturally to mind, but in-house collections of RNA structures resulting from high-throughput experiments can also be considered. Fundamentally, mining a database of RNA secondary structures naturally reduces to pairwise comparisons between the query and the (or a subset of the) structures recorded in the database. The pairwise comparison of RNA secondary structures is a long-standing problem in computational biology, that is still being investigated, as shown by several recent papers, based on different RNA structure representations and computational principles (e.g., [8¨C12]). We present here BRASERO, a website that contains several benchmark data sets and automatic software tools to compare the performances of RNA secondary structure comparison methods. The software tools available on BRASERO are flexible and can be used with alternative benchmarks data sets, for example designed by a user with some specific application in mind, with the purpose to assess which models/software tools/parameters are relevant for their own specific application. We describe below the main features
%U http://www.hindawi.com/journals/abi/2012/893048/