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    NASP: A parallel program for identifying evolutionarily conserved nucleic acid secondary structures from nucleotide sequence alignments

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    Authors
    Semegni, J.Y.
    Wamalwa, M.
    Gaujoux, R.
    Harkins, G.W.
    Gray, A.R.
    Martin, D.
    Date Issued
    2011-09
    Date Online
    2011-07
    Language
    en
    Type
    Journal Article
    Accessibility
    Open Access
    Metadata
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    Citation
    Semegni, J.Y., Wamalwa, M., Gaujoux, R., Harkins, G.W., Gray, A. and Martin, D.P. 2011. NASP: A parallel program for identifying evolutionarily conserved nucleic acid secondary structures from nucleotide sequence alignments. Bioinformatics 27(17):2443-2445.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/68358
    DOI: https://doi.org/10.1093/bioinformatics/btr417
    Abstract/Description
    Summary:Many natural nucleic acid sequences have evolutionarily conserved secondary structures with diverse biological functions. A reliable computational tool for identifying such structures would be very useful in guiding experimental analyses of their biological functions. NASP (Nucleic Acid Structure Predictor) is a program that takes into account thermodynamic stability, Boltzmann base pair probabilities, alignment uncertainty, covarying sites and evolutionary conservation to identify biologically relevant secondary structures within multiple sequence alignments. Unique to NASP is the consideration of all this information together with a recursive permutation-based approach to progressively identify and list the most conserved probable secondary structures that are likely to have the greatest biological relevance. By focusing on identifying only evolutionarily conserved structures, NASP forgoes the prediction of complete nucleotide folds but outperforms various other secondary structure prediction methods in its ability to selectively identify actual base pairings.
    AGROVOC Keywords
    nucleic acids
    Subjects
    BIOTECHNOLOGY;
    Organizations Affiliated to the Authors
    University of Cape Town
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    • ILRI BecA articles [277]

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