Literature DB >> 16108086

Multiple RNA structure alignment.

Zhuozhi Wang1, Kaizhong Zhang.   

Abstract

Ribonucleic Acid (RNA) structures can be viewed as a special kind of strings where characters in a string can bond with each other. The question of aligning two RNA structures has been studied for a while, and there are several successful algorithms that are based upon different models. In this paper, by adopting the model introduced in Wang and Zhang,(19) we propose two algorithms to attack the question of aligning multiple RNA structures. Our methods are to reduce the multiple RNA structure alignment problem to the problem of aligning two RNA structure alignments. Meanwhile, we will show that the framework of sequence center star alignment algorithm can be applied to the problem of multiple RNA structure alignment, and if the triangle inequality is met in the scoring matrix, the approximation ratio of the algorithm remains to be 2-2(over)n, where n is the total number of structures.

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Year:  2005        PMID: 16108086     DOI: 10.1142/s0219720005001296

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  1 in total

1.  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

  1 in total

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