Literature DB >> 12015887

A general edit distance between RNA structures.

Tao Jiang1, Guohui Lin, Bin Ma, Kaizhong Zhang.   

Abstract

Arc-annotated sequences are useful in representing the structural information of RNA sequences. In general, RNA secondary and tertiary structures can be represented as a set of nested arcs and a set of crossing arcs, respectively. Since RNA functions are largely determined by molecular confirmation and therefore secondary and tertiary structures, the comparison between RNA secondary and tertiary structures has received much attention recently. In this paper, we propose the notion of edit distance to measure the similarity between two RNA secondary and tertiary structures, by incorporating various edit operations performed on both bases and arcs (i.e., base-pairs). Several algorithms are presented to compute the edit distance between two RNA sequences with various arc structures and under various score schemes, either exactly or approximately, with provably good performance. Preliminary experimental tests confirm that our definition of edit distance and the computation model are among the most reasonable ones ever studied in the literature.

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Year:  2002        PMID: 12015887     DOI: 10.1089/10665270252935511

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  31 in total

1.  Boltzmann ensemble features of RNA secondary structures: a comparative analysis of biological RNA sequences and random shuffles.

Authors:  Chi Yu Chan; Ye Ding
Journal:  J Math Biol       Date:  2007-10-02       Impact factor: 2.259

2.  Variations on RNA folding and alignment: lessons from Benasque.

Authors:  Athanasius F Bompfünewerer; Rolf Backofen; Stephan H Bernhart; Jana Hertel; Ivo L Hofacker; Peter F Stadler; Sebastian Will
Journal:  J Math Biol       Date:  2007-07-05       Impact factor: 2.259

3.  Analysis of the secondary structure of ITS1 in Pectinidae: implications for phylogenetic reconstruction and structural evolution.

Authors:  Shi Wang; Zhenmin Bao; Ning Li; Lingling Zhang; Jingjie Hu
Journal:  Mar Biotechnol (NY)       Date:  2007-02-08       Impact factor: 3.619

Review 4.  Computational methods in noncoding RNA research.

Authors:  Ariane Machado-Lima; Hernando A del Portillo; Alan Mitchell Durham
Journal:  J Math Biol       Date:  2007-09-04       Impact factor: 2.259

5.  A clique-based method using dynamic programming for computing edit distance between unordered trees.

Authors:  Tomoya Mori; Takeyuki Tamura; Daiji Fukagawa; Atsuhiro Takasu; Etsuji Tomita; Tatsuya Akutsu
Journal:  J Comput Biol       Date:  2012-10       Impact factor: 1.479

6.  A method for discovering common patterns from two RNA secondary structures and its application to structural repeat detection.

Authors:  Lei Hua; Jason T L Wang; Xiang Ji; Ankur Malhotra; Mugdha Khaladkar; Bruce A Shapiro; Kaizhong Zhang
Journal:  J Bioinform Comput Biol       Date:  2012-06-22       Impact factor: 1.122

7.  RNAMotifScan: automatic identification of RNA structural motifs using secondary structural alignment.

Authors:  Cuncong Zhong; Haixu Tang; Shaojie Zhang
Journal:  Nucleic Acids Res       Date:  2010-08-08       Impact factor: 16.971

8.  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

9.  An image processing approach to computing distances between RNA secondary structures dot plots.

Authors:  Tor Ivry; Shahar Michal; Assaf Avihoo; Guillermo Sapiro; Danny Barash
Journal:  Algorithms Mol Biol       Date:  2009-02-09       Impact factor: 1.405

10.  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

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