Literature DB >> 16650440

Invariants of DNA sequences based on 2DD-curves.

Yusen Zhang1, Wei Chen.   

Abstract

The leading eigenvalue of the matrix associated with a DNA sequence as a important invariant is effectively used in analysis of DNA sequences. Here, we propose a new invariant base on the 2DD-Curves of DNA sequences which is simple for calculation. We can use it as an alternative invariant to characterize the DNA sequence. The utility of the new parameter is illustrated on the DNA sequences of 11 species.

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Year:  2006        PMID: 16650440     DOI: 10.1016/j.jtbi.2006.03.012

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  Prediction of high-risk types of human papillomaviruses using statistical model of protein "sequence space".

Authors:  Cong Wang; Yabing Hai; Xiaoqing Liu; Nanfang Liu; Yuhua Yao; Pingan He; Qi Dai
Journal:  Comput Math Methods Med       Date:  2015-04-20       Impact factor: 2.238

2.  Sequence comparison via polar coordinates representation and curve tree.

Authors:  Qi Dai; Xiaodong Guo; Lihua Li
Journal:  J Theor Biol       Date:  2011-10-06       Impact factor: 2.691

3.  TN curve: a novel 3D graphical representation of DNA sequence based on trinucleotides and its applications.

Authors:  Jia-Feng Yu; Xiao Sun; Ji-Hua Wang
Journal:  J Theor Biol       Date:  2009-08-11       Impact factor: 2.691

4.  New 3D graphical representation of DNA sequence based on dual nucleotides.

Authors:  Xiao-Qin Qi; Jie Wen; Zhao-Hui Qi
Journal:  J Theor Biol       Date:  2007-09-01       Impact factor: 2.691

  4 in total

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