A new method for visual SARS DNA sequences analysis.
- Author:
Zhijie XU
1
;
Jie YANG
;
Guoping LIU
;
Meng WANG
;
Zhende HUANG
Author Information
1. Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
SARS Virus;
genetics;
Sequence Analysis, DNA;
methods
- From:
Journal of Biomedical Engineering
2006;23(4):734-738
- CountryChina
- Language:Chinese
-
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.
