Chen Chuming, Huang Hongzhan, Wu Cathy H
Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19711, USA.
Methods Mol Biol. 2017;1558:3-39. doi: 10.1007/978-1-4939-6783-4_1.
Many publicly available data repositories and resources have been developed to support protein-related information management, data-driven hypothesis generation, and biological knowledge discovery. To help researchers quickly find the appropriate protein-related informatics resources, we present a comprehensive review (with categorization and description) of major protein bioinformatics databases in this chapter. We also discuss the challenges and opportunities for developing next-generation protein bioinformatics databases and resources to support data integration and data analytics in the Big Data era.
为支持蛋白质相关信息管理、数据驱动的假设生成和生物学知识发现，已开发了许多公开可用的数据存储库和资源。为帮助研究人员快速找到合适的蛋白质相关信息学资源，我们在本章对主要蛋白质生物信息学数据库进行了全面综述（包括分类和描述）。我们还讨论了在大数据时代开发下一代蛋白质生物信息学数据库和资源以支持数据集成和数据分析所面临的挑战与机遇。
