CAJ | 학술논문

组学技术方法和工具研究系统生物学的发展产生海量的基因组、转录组、蛋白质组和代谢组等组学数据. 基于多平台组学数据整合的代谢通路分析为全面深刻了解生物医学系统提供了前提条件. 本文综述了近年来基于组学数据库和整合工具的代谢通路分析方面的研究进展,包括新的数据整合方法和数据库分析平台.
조학기술방법화공구연구계통생물학적발전산생해량적기인조、전록조、단백질조화대사조등조학수거. 기우다평태조학수거정합적대사통로분석위전면심각료해생물의학계통제공료전제조건. 본문종술료근년래기우조학수거고화정합공구적대사통로분석방면적연구진전,포괄신적수거정합방법화수거고분석평태.
Mass data and information have been formed based on a quick development of techniques, methods and tools from omics including genomics, transcriptomics, proteomics and metabolomics. The omics data-based integrated metabolic pathway analysis provides the premise and condition for deeply investigating and comprehending the nature of biological medical systems. This paper briefly reviews the current status and future trends of the metabolic pathway analysis based on the integration of database and tools from omics, including the novel integrated methods and data analysis platform.