School of Computer Science and Technology, Harbin Institute of Technology, China.
Int J Biol Sci. 2020 Jan 16;16(5):838-848. doi: 10.7150/ijbs.39289. eCollection 2020.
Many bacterial-related databases are developed to meet the researchers' needs of analysis and search for a number of bacterial information. However, these databases have different data resources, construction methods, data formats, and analysis tools. It's difficult for researchers to select appropriate databases and analysis tools to promote their researches. In the paper, we compared the contents, construction methods, data sources, update frequency, scope and scale of data, analysis tools, and features of nine famous bacterial databases: CARD, EffectiveDB, MBGD, MPD, PATRCI, PHI-base, VFDB, gcMeta and SILVA, and help researchers to better make better use of these databases. In addition, we also hope this review can help researchers develop a more comprehensive database and better tools to meet the needs of researchers.
许多与细菌相关的数据库是为了满足研究人员对大量细菌信息进行分析和搜索的需求而开发的。然而，这些数据库具有不同的数据资源、构建方法、数据格式和分析工具，研究人员很难选择合适的数据库和分析工具来推动他们的研究。在本文中，我们比较了九个著名的细菌数据库：CARD、EffectiveDB、MBGD、MPD、PATRCI、PHI-base、VFDB、gcMeta 和 SILVA 的内容、构建方法、数据源、更新频率、数据范围和规模、分析工具和特点，帮助研究人员更好地利用这些数据库。此外，我们还希望本综述能帮助研究人员开发更全面的数据库和更好的工具，以满足研究人员的需求。
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