Analysis of internal loops within the RNA secondary structure in almost quadratic time
Motivation: Evaluating all possible internal loops is one of the key steps in predicting the optimal secondary structure of an RNA molecule. The best algorithm available runs in time O(L3), L is the length of the RNA. Results: We propose a new algorithm for evaluating internal loops, its run-time is...
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| Vydáno v: | Bioinformatics Ročník 22; číslo 11; s. 1317 - 1324 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
England
Oxford University Press
01.06.2006
Oxford Publishing Limited (England) |
| Témata: | |
| ISSN: | 1367-4803, 1460-2059, 1367-4811 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Motivation: Evaluating all possible internal loops is one of the key steps in predicting the optimal secondary structure of an RNA molecule. The best algorithm available runs in time O(L3), L is the length of the RNA. Results: We propose a new algorithm for evaluating internal loops, its run-time is O(M*log2L), M<L2 is a number of possible nucleotide pairings. We created a software tool Afold which predicts the optimal secondary structure of RNA molecules of lengths up to 28 000 nt, using a computer with 2 Gb RAM. We also propose algorithms constructing sets of conditionally optimal multi-branch loop free (MLF) structures, e.g. the set that for every possible pairing (x, y) contains an optimal MLF structure in which nucleotides x and y form a pair. All the algorithms have run-time O(M*log2L). Availability: Executables of Afold software tool, precompiled for Linux and Windows, are available at . Contact:MRoytberg@impb.psn.ru Supplementary information: |
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| Bibliografie: | istex:48D30165AB8DD8ED5F24B984A3E5BC1A9E11BE61 To whom correspondence should be addressed. Associate Editor: Charlie Hodgman ark:/67375/HXZ-X4FB1R49-G ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1367-4803 1460-2059 1367-4811 |
| DOI: | 10.1093/bioinformatics/btl083 |