A comprehensive comparison of comparative RNA structure prediction approaches View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-12

AUTHORS

Paul P Gardner, Robert Giegerich

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. More... »

PAGES

140

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2105-5-140

    DOI

    http://dx.doi.org/10.1186/1471-2105-5-140

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045744598

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/15458580


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