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Local RNA structure alignment with incomplete sequence

Motivation: Accuracy of automated structural RNA alignment is improved by using models that consider not only primary sequence but also secondary structure information. However, current RNA structural alignment approaches tend to perform poorly on incomplete sequence fragments, such as single reads...

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Detalles Bibliográficos
Autores principales: Kolbe, Diana L., Eddy, Sean R.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677745/
https://www.ncbi.nlm.nih.gov/pubmed/19304875
http://dx.doi.org/10.1093/bioinformatics/btp154
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author Kolbe, Diana L.
Eddy, Sean R.
author_facet Kolbe, Diana L.
Eddy, Sean R.
author_sort Kolbe, Diana L.
collection PubMed
description Motivation: Accuracy of automated structural RNA alignment is improved by using models that consider not only primary sequence but also secondary structure information. However, current RNA structural alignment approaches tend to perform poorly on incomplete sequence fragments, such as single reads from metagenomic environmental surveys, because nucleotides that are expected to be base paired are missing. Results: We present a local RNA structural alignment algorithm, trCYK, for aligning and scoring incomplete sequences under a model using primary sequence conservation and secondary structure information when possible. The trCYK algorithm improves alignment accuracy and coverage of sequence fragments of structural RNAs in simulated metagenomic shotgun datasets. Availability: The source code for Infernal 1.0, which includes trCYK, is available at http://infernal.janelia.org Contact: kolbed@janelia.hhmi.org; eddys@janelia.hhmi.org Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-26777452009-05-08 Local RNA structure alignment with incomplete sequence Kolbe, Diana L. Eddy, Sean R. Bioinformatics Original Papers Motivation: Accuracy of automated structural RNA alignment is improved by using models that consider not only primary sequence but also secondary structure information. However, current RNA structural alignment approaches tend to perform poorly on incomplete sequence fragments, such as single reads from metagenomic environmental surveys, because nucleotides that are expected to be base paired are missing. Results: We present a local RNA structural alignment algorithm, trCYK, for aligning and scoring incomplete sequences under a model using primary sequence conservation and secondary structure information when possible. The trCYK algorithm improves alignment accuracy and coverage of sequence fragments of structural RNAs in simulated metagenomic shotgun datasets. Availability: The source code for Infernal 1.0, which includes trCYK, is available at http://infernal.janelia.org Contact: kolbed@janelia.hhmi.org; eddys@janelia.hhmi.org Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2009-05-15 2009-03-20 /pmc/articles/PMC2677745/ /pubmed/19304875 http://dx.doi.org/10.1093/bioinformatics/btp154 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Kolbe, Diana L.
Eddy, Sean R.
Local RNA structure alignment with incomplete sequence
title Local RNA structure alignment with incomplete sequence
title_full Local RNA structure alignment with incomplete sequence
title_fullStr Local RNA structure alignment with incomplete sequence
title_full_unstemmed Local RNA structure alignment with incomplete sequence
title_short Local RNA structure alignment with incomplete sequence
title_sort local rna structure alignment with incomplete sequence
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677745/
https://www.ncbi.nlm.nih.gov/pubmed/19304875
http://dx.doi.org/10.1093/bioinformatics/btp154
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