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Analysis of similarity/dissimilarity of DNA sequences based on a class of 2D graphical representation
Author(s) -
Yao Yuhua,
Dai Qi,
Nan XuYing,
He PingAn,
Nie ZuoMing,
Zhou SongPing,
Zhang YaoZhou
Publication year - 2008
Publication title -
journal of computational chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.907
H-Index - 188
eISSN - 1096-987X
pISSN - 0192-8651
DOI - 10.1002/jcc.20922
Subject(s) - basis (linear algebra) , coding (social sciences) , eigenvalues and eigenvectors , similarity (geometry) , sensitivity (control systems) , euclidean distance , representation (politics) , dna , mathematics , computational biology , dna sequencing , pattern recognition (psychology) , combinatorics , genetics , artificial intelligence , computer science , biology , physics , statistics , geometry , image (mathematics) , quantum mechanics , electronic engineering , politics , law , political science , engineering
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 β‐globin gene of different species has been performed by our method, and the reasonable results verify the validity of our method. © 2008 Wiley Periodicals, Inc. J Comput Chem 2008