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Normalized Similarity of RNA Sequences

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2005 Germany Publisher:Springer Berlin Heidelberg
Authors: Rolf Backofen; Danny Hermelin; Gad M. Landau; Oren Weimann;

doi: 10.1007/11575832_40

Normalized Similarity of RNA Sequences

Abstract

We introduce a normalized version of the LCS metric as a new local similarity measure for comparing two RNAs. An $\mathcal{O}(n^{2}m{\rm lg}m)$ time algorithm is presented for computing the maximum normalized score of two RNA sequences, where n and m are the lengths of the sequences and n ≤ m. This algorithm has the same time complexity as the currently best known global LCS algorithm.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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