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PubMed · 17002096

[A new method for visual SARS DNA sequences analysis].

Zhijie Xu·Jie Yang·Guoping Liu·Meng Wang·Zhende Huang
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Abstract

Traditional DNA sequence analysis is based on sequence alignment, while a new DNA visual sequence analysis is proposed in this paper. Based on S. Wolfram's cellular automation theory, the method transfers one-dimensional DNA sequence into two-demensional visual image. Applying this method to SARS DNA sequence analysis, a characteristic of SARS-CoV differing from non-SARS is discovered. Compared with all known coronaviruses' images, It is found that this is a unique characteristic of SARS virus, and it is helpful to clinical identification of SARS.

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AlgorithmsSevere acute respiratory syndrome-related coronavirusSequence Analysis, DNAEnglish AbstractJournal Article

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Zhijie Xu, Jie Yang, Guoping Liu, Meng Wang, Zhende Huang. 2006. [A new method for visual SARS DNA sequences analysis].. https://pubmed.ncbi.nlm.nih.gov/17002096/

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