An Integrated Strategy for Functional Analysis in Large-scale Proteomic Research by Gene Ontology
- VernacularTitle:高通量蛋白质组学研究中一种基于GO的蛋白质功能分析策略
- Author:
Dong LI
;
Jianqi LI
;
Shuguang OUYANG
;
Songfeng WU
;
Jian WANG
;
Xiaojie XU
;
Yunping ZHU
;
Fuchu HE
- Publication Type:Journal Article
- Keywords:
bioinformatics;
proteomics;
expression profile;
gene ontology;
protein function
- From:
Progress in Biochemistry and Biophysics
2005;32(11):1026-1029
- CountryChina
- Language:Chinese
-
Abstract:
Data analysis poses a significant challenge to the large-scale proteomics studies. Based on the structured and controlled vocabularies-Gene Ontology (GO), and the GO annotation from related databases, a strategy composed of several programs and local databases is developed to identify the functional distribution and the significantly enriched functional categories of the proteomic expression profile. It would be helpful for understanding the overall functions of these identified proteins and supply the fundamental information for further bioinformatics exploration. This strategy has been successfully used in the Human Fetal Liver (HFL) proteomic research, which is available online at http://www.hupo.org.cn/GOfact/.
