Literature DB >> 18293304

Analysis of similarity/dissimilarity of DNA sequences based on a class of 2D graphical representation.

Yu-Hua Yao1, Qi Dai, Xu-Ying Nan, Ping-An He, Zuo-Ming Nie, Song-Ping Zhou, Yao-Zhou Zhang.   

Abstract

On the basis of a class of 2D graphical representations of DNA sequences, sensitivity analysis has been performed, showing the high-capability of the proposed representations to take into account small modifications of the DNA sequences. And sensitivity analysis also indicates that the absolute differences of the leading eigenvalues of the L/L matrices associated with DNA increase with the increase of the number of the base mutations. Besides, we conclude that the similarity analysis method based on the correlation angles can better eliminate the effects of the lengths of DNA sequences if compared with the method using the Euclidean distances. As application, the examination of similarities/dissimilarities among the coding sequences of the first exon of beta-globin gene of different species has been performed by our method, and the reasonable results verify the validity of our method. (c) 2008 Wiley Periodicals, Inc. J Comput Chem, 2008.

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Year:  2008        PMID: 18293304     DOI: 10.1002/jcc.20922

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  4 in total

1.  New method for global alignment of 2 DNA sequences by the tree data structure.

Authors:  Zhao-Hui Qi; Xiao-Qin Qi; Chen-Chen Liu
Journal:  J Theor Biol       Date:  2009-12-16       Impact factor: 2.691

2.  Three 3D graphical representations of DNA primary sequences based on the classifications of DNA bases and their applications.

Authors:  Guosen Xie; Zhongxi Mo
Journal:  J Theor Biol       Date:  2010-10-20       Impact factor: 2.691

3.  Similarity/Dissimilarity analysis of protein sequences based on a new spectrum-like graphical representation.

Authors:  Yuhua Yao; Shoujiang Yan; Huimin Xu; Jianning Han; Xuying Nan; Ping-An He; Qi Dai
Journal:  Evol Bioinform Online       Date:  2014-06-12       Impact factor: 1.625

4.  Using Gaussian model to improve biological sequence comparison.

Authors:  Qi Dai; Xiaoqing Liu; Lihua Li; Yuhua Yao; Bin Han; Lei Zhu
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

  4 in total

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