Literature DB >> 17044160

A new distance for high level RNA secondary structure comparison.

Julien Allali1, Marie-France Sagot.   

Abstract

We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two new operations, called node fusion and edge fusion, besides the tree edit operations of deletion, insertion, and relabeling classically used in the literature. This allows us to address some serious limitations of the more traditional tree edit operations when the trees represent RNAs and what is searched for is a common structural core of two RNAs. Although the algorithm complexity has an exponential term, this term depends only on the number of successive fusions that may be applied to a same node, not on the total number of fusions. The algorithm remains therefore efficient in practice and is used for illustrative purposes on ribosomal as well as on other types of RNAs.

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Year:  2005        PMID: 17044160     DOI: 10.1109/TCBB.2005.2

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  8 in total

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Authors:  Ariane Machado-Lima; Hernando A del Portillo; Alan Mitchell Durham
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Review 2.  New insights from cluster analysis methods for RNA secondary structure prediction.

Authors:  Emily Rogers; Christine Heitsch
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-03-11       Impact factor: 9.957

3.  Strategies for measuring evolutionary conservation of RNA secondary structures.

Authors:  Andreas R Gruber; Stephan H Bernhart; Ivo L Hofacker; Stefan Washietl
Journal:  BMC Bioinformatics       Date:  2008-02-26       Impact factor: 3.169

4.  A new Motzkin class for joint RNA secondary structures.

Authors:  Athanasios Alexiou; Panayiotis Vlamos
Journal:  Bioinformation       Date:  2011-05-07

5.  RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation.

Authors:  Ying Li; Xiaohu Shi; Yanchun Liang; Juan Xie; Yu Zhang; Qin Ma
Journal:  BMC Bioinformatics       Date:  2017-01-21       Impact factor: 3.169

6.  A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming.

Authors:  Hao Zhang; Chunhe Zhang; Zhi Li; Cong Li; Xu Wei; Borui Zhang; Yuanning Liu
Journal:  Front Genet       Date:  2019-05-22       Impact factor: 4.599

7.  Lightweight comparison of RNAs based on exact sequence-structure matches.

Authors:  Steffen Heyne; Sebastian Will; Michael Beckstette; Rolf Backofen
Journal:  Bioinformatics       Date:  2009-02-02       Impact factor: 6.937

8.  Multi-scale RNA comparison based on RNA triple vector curve representation.

Authors:  Ying Li; Ming Duan; Yanchun Liang
Journal:  BMC Bioinformatics       Date:  2012-10-30       Impact factor: 3.169

  8 in total

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