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A fast structural multiple alignment method for long RNA sequences

A fast structural multiple alignment method for long RNA sequences

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_57ad5c031340435d9220fe0cbe428d27

A fast structural multiple alignment method for long RNA sequences

About this item

Full title

A fast structural multiple alignment method for long RNA sequences

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2008-01, Vol.9 (1), p.33-33, Article 33

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Aligning multiple RNA sequences is essential for analyzing non-coding RNAs. Although many alignment methods for non-coding RNAs, including Sankoff's algorithm for strict structural alignments, have been proposed, they are either inaccurate or computationally too expensive. Faster methods with reasonable accuracies are required for genome-scale analyses.
We propose a fast algorithm for multiple structural alignments of RNA sequences that is an extension of our pairwise structural alignment method (implemented in SCARNA). The accuracies of the implemented software, MXSCARNA, are at least as favorable as those of state-of-art algorithms that are computationally much more expensive in time and memory.
The proposed method for structural alignment of multiple RNA sequences is fast enough for large-scale analyses with accuracies at least comparable to those of existing algorithms. The source code of MXSCARNA and its web server are available at http://mxscarna.ncrna.org....

Alternative Titles

Full title

A fast structural multiple alignment method for long RNA sequences

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_57ad5c031340435d9220fe0cbe428d27

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_57ad5c031340435d9220fe0cbe428d27

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-9-33

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