[A new method for visual SARS DNA sequences analysis].
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.
Xu
Zhijie
Z
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China.
Yang
Jie
J
Liu
Guoping
G
Wang
Meng
M
Huang
Zhende
Z
D000465:Algorithms; D045473:Severe acute respiratory syndrome-related coronavirus / Q000235:genetics*; D017422:Sequence Analysis, DNA / Q000379:methods*