A faster algorithm for simultaneous alignment and folding of RNA

Michal Ziv-Ukelson, Irit Gat-Viks, Ydo Wexler, Ron Shamir

Research output: Contribution to journalArticlepeer-review

Abstract

The current pairwise RNA (secondary) structural alignment algorithms are based on Sankoff's dynamic programming algorithm from 1985. Sankoff's algorithm requires O(N6) time and O(N4) space, where N denotes the length of the compared sequences, and thus its applicability is very limited. The current literature offers many heuristics for speeding up Sankoff's alignment process, some making restrictive assumptions on the length or the shape of the RNA substructures. We show how to speed up Sankoff's algorithm in practice via non-heuristic methods, without compromising optimality. Our analysis shows that the expected time complexity of the new algorithm is O(N4ς(N)), where ς(N) converges to O(N), assuming a standard polymer folding model which was supported by experimental analysis. Hence, our algorithm speeds up Sankoff's algorithm by a linear factor on average. In simulations, our algorithm speeds up computation by a factor of 3-12 for sequences of length 25-250. Code and data sets are available, upon request.

Original languageEnglish
Pages (from-to)1051-1065
Number of pages15
JournalJournal of Computational Biology
Volume17
Issue number8
DOIs
StatePublished - 1 Aug 2010

Keywords

  • Algorithms
  • RNA
  • computational molecular biology
  • secondary structure
  • sequence analysis

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