Gardner PP, Giegerich R. A comprehensive comparison of comparative RNA structure prediction approaches.
BMC Bioinformatics 2004;
5:140. [PMID:
15458580 PMCID:
PMC526219 DOI:
10.1186/1471-2105-5-140]
[Citation(s) in RCA: 260] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2004] [Accepted: 09/30/2004] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND
An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, independent benchmarking of these algorithms is rarely performed as is now common practice for protein-folding, gene-finding and multiple-sequence-alignment algorithms.
RESULTS
Here we evaluate a number of RNA folding algorithms using reliable RNA data-sets and compare their relative performance.
CONCLUSIONS
We conclude that comparative data can enhance structure prediction but structure-prediction-algorithms vary widely in terms of both sensitivity and selectivity across different lengths and homologies. Furthermore, we outline some directions for future research.
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