Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan.
Protein Sci. 2019 Nov;28(11):1947-1951. doi: 10.1002/pro.3715. Epub 2019 Sep 9.
In this era of high-throughput biology, bioinformatics has become a major discipline for making sense out of large-scale datasets. Bioinformatics is usually considered as a practical field developing databases and software tools for supporting other fields, rather than a fundamental scientific discipline for uncovering principles of biology. The KEGG resource that we have been developing is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is now one of the most utilized biological databases because of its practical values. For me personally, KEGG is a step toward understanding the origin and evolution of cellular organisms.
在高通量生物学时代,生物信息学已成为从大规模数据集理解生物学的主要学科。生物信息学通常被认为是一个实用领域,它开发数据库和软件工具来支持其他领域,而不是一个用于揭示生物学原理的基础科学学科。我们一直在开发的 KEGG 资源是一个基因组序列和其他高通量数据的生物学解释的参考知识库。由于其实际价值,它现在是最常用的生物数据库之一。对我个人而言,KEGG 是理解细胞生物起源和进化的一个步骤。