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A comprehensive comparison of comparative RNA structure prediction approaches
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 a...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC526219/ https://www.ncbi.nlm.nih.gov/pubmed/15458580 http://dx.doi.org/10.1186/1471-2105-5-140 |
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author | Gardner, Paul P Giegerich, Robert |
author_facet | Gardner, Paul P Giegerich, Robert |
author_sort | Gardner, Paul P |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-526219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-5262192004-11-10 A comprehensive comparison of comparative RNA structure prediction approaches Gardner, Paul P Giegerich, Robert BMC Bioinformatics Research Article 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. BioMed Central 2004-09-30 /pmc/articles/PMC526219/ /pubmed/15458580 http://dx.doi.org/10.1186/1471-2105-5-140 Text en Copyright © 2004 Gardner and Giegerich; licensee BioMed Central Ltd. |
spellingShingle | Research Article Gardner, Paul P Giegerich, Robert A comprehensive comparison of comparative RNA structure prediction approaches |
title | A comprehensive comparison of comparative RNA structure prediction approaches |
title_full | A comprehensive comparison of comparative RNA structure prediction approaches |
title_fullStr | A comprehensive comparison of comparative RNA structure prediction approaches |
title_full_unstemmed | A comprehensive comparison of comparative RNA structure prediction approaches |
title_short | A comprehensive comparison of comparative RNA structure prediction approaches |
title_sort | comprehensive comparison of comparative rna structure prediction approaches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC526219/ https://www.ncbi.nlm.nih.gov/pubmed/15458580 http://dx.doi.org/10.1186/1471-2105-5-140 |
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