Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Japan.
Curr Opin Biotechnol. 2009 Dec;20(6):610-5. doi: 10.1016/j.copbio.2009.09.011. Epub 2009 Oct 21.
After nearly a decade, metabolomics has begun to acquire some credence in the scientific community although its acceptance cannot be compared with that of its forerunners, genomics and proteomics. The legitimization of metabolomics as a valid scientific entity depends on the size of the research community it influences. By far the most effective medium for inoculation is the web infrastructure: public servers that accommodate experimental data, simple formats and guidelines for their interpretation, and connectivity between data and tools for analysis. When these elements satisfy the condition to initiate a social epidemic, metabolomics will be accepted as a fundamental data-driven science that can unite hitherto independently conducted research disciplines.
经过近十年的发展,代谢组学在科学界开始获得一定的认可,尽管其接受程度无法与基因组学和蛋白质组学相媲美。代谢组学作为一个有效的科学实体被认可,取决于它所影响的研究群体的规模。迄今为止,最有效的传播媒介是网络基础设施:公共服务器容纳实验数据,简单的格式和解释指南,以及数据和分析工具之间的连接。当这些元素满足引发社会流行的条件时,代谢组学将被接受为一种基本的数据驱动科学,可以将迄今为止独立进行的研究学科联合起来。