CAJ | 학술논문

挖掘高通量实验数据蕴含的生物学意义是蛋白质组学研究面临的一大挑战.基于等级化结构化的词汇表GO(Gene Onto1ogy)和相关数据库中的蛋白质功能注释,发展了一种对蛋白质组学研究中得到的表达谱(Expression profile)进行功能分析的策略.在对蛋白质表达谱进行功能注释的基础上给出蛋白质表达谱中蛋白质功能的分布,同时给出感兴趣功能类别的统计信息.这有助于对表达谱蛋白质功能的整体理解和深入的生物信息学分析.该策略已经成功应用胎肝蛋白表达谱研究中,用户可以通过访问网址http://www.hupo.org.cn/GOfact/使用或者下载我们的程序.
알굴고통량실험수거온함적생물학의의시단백질조학연구면림적일대도전.기우등급화결구화적사회표GO(Gene Onto1ogy)화상관수거고중적단백질공능주석,발전료일충대단백질조학연구중득도적표체보(Expression profile)진행공능분석적책략.재대단백질표체보진행공능주석적기출상급출단백질표체보중단백질공능적분포,동시급출감흥취공능유별적통계신식.저유조우대표체보단백질공능적정체리해화심입적생물신식학분석.해책략이경성공응용태간단백표체보연구중,용호가이통과방문망지http://www.hupo.org.cn/GOfact/사용혹자하재아문적정서.
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/.