Further analysis and study based on a visualized method for SARS RNA sequences.
- Author:
Guoping LIU
1
;
Jie YANG
;
Zhijie XU
;
Meng WANG
;
Zhende HUANG
Author Information
1. Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China. ahphone@sjtu.edu.cn
- Publication Type:Journal Article
- MeSH:
Genome, Viral;
Image Processing, Computer-Assisted;
methods;
RNA, Viral;
genetics;
SARS Virus;
genetics;
Sequence Analysis, RNA;
methods
- From:
Journal of Biomedical Engineering
2007;24(1):26-31
- CountryChina
- Language:Chinese
-
Abstract:
This paper proposed a new kind of visualized method of genome. Using cellular automation theory, the visual method transfers one-dimensional RNA sequence into two-demension visual image. Applying this method to SARS RNA sequence analysis, the characteristic of SARS-CoV differing from Non-SARS is discovered. This paper extracts characteristic genome fragment, visualize them, and study them with some pattern recognition method such as PCA and SVM. The result shows that the characteristic of SARS-CoV is classifiable. Some combined methods can use the characteristic more sufficient as an un-routine method.
