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  SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments

Tabei, Y., Tsuda, K., Kin, T., & Asai, K. (2006). SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments. Bioinformatics, 22(14), 1723-1729. doi:10.1093/bioinformatics/btl177.

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資料種別: 学術論文

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 作成者:
Tabei, Y1, 著者           
Tsuda, K1, 著者           
Kin, T, 著者
Asai, K, 著者
所属:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 要旨: The functions of non-coding RNAs are strongly related to their secondary structures, but it is known that a secondary structure prediction of a single sequence is not reliable. Therefore, we have to collect similar RNA sequences with a common secondary structure for the analyses of a new non-coding RNA without knowing the exact secondary structure itself. Therefore, the sequence comparison in searching similar RNAs should consider not only their sequence similarities but their potential secondary structures. Sankoffamp;lsquo;s algorithm predicts the common secondary structures of the sequences, but it is computationally too expensive to apply to large-scale analyses. Because we often want to compare a large number of cDNA sequences or to search similar RNAs in the whole genome sequences, much faster algorithms are required. We propose a new method of comparing RNA sequences based on the structural alignments of the fixed-length fragments of the stem candidates. The implemented software, SCARNA (Stem Candidate Aligner for RNAs), is fast enough to apply to the long sequences in the large-scale analyses. The accuracy of the alignments is better or comparable to the much slower existing algorithms.

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 日付: 2006-05
 出版の状態: 出版
 ページ: -
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 識別子(DOI, ISBNなど): URI: http://intl-bioinformatics.oxfordjournals.org/cgi/reprint/22/14/1723
DOI: 10.1093/bioinformatics/btl177
BibTex参照ID: 4070
 学位: -

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出版物名: Bioinformatics
種別: 学術雑誌
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ページ: - 巻号: 22 (14) 通巻号: - 開始・終了ページ: 1723 - 1729 識別子(ISBN, ISSN, DOIなど): -