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A novel way to numerically characterize DNA sequences and its application
Author(s) -
Guo Ying,
Wang Yanfang,
Zhang Shengli
Publication year - 2010
Publication title -
international journal of quantum chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 105
eISSN - 1097-461X
pISSN - 0020-7608
DOI - 10.1002/qua.22872
Subject(s) - eigenvalues and eigenvectors , curvature , phylogenetic tree , representation (politics) , coding (social sciences) , dna sequencing , dna , algorithm , computational biology , physics , mathematics , gene , biology , genetics , quantum mechanics , geometry , statistics , politics , political science , law
We presented a novel way to numerically characterize DNA sequences based on the graphical representation for the sequences comparison and analysis. Instead of calculating the leading eigenvalues of the matrix for graphical representation, we computed curvature and torsion of curves as the descriptor to numerically characterize DNA sequences. The new method was tested on three data sets: the coding sequences of β‐globin gene, all of their exons, and 24 coronavirus geneomes from NCBI. The similarities/dissimilarities and phylogenetic tree of these species verify the validity of our method. © 2010 Wiley Periodicals, Inc. Int J Quantum Chem, 2011