Abstract

Metabolomics has evolved as a discipline from a discovery and functional genomics tool, and is now a cornerstone in the era of big data-driven precision medicine. Sample preparation strategies and analytical technologies have seen enormous growth, and keeping pace with data analytics is challenging, to say the least. This review introduces and briefly presents around 100 metabolomics software resources, tools, databases, and other utilities that have surfaced or have improved in 2019. Table 1 provides the computational dependencies of the tools, categorizes the resources based on utility and ease of use, and provides hyperlinks to webpages where the tools can be downloaded or used. This review intends to keep the community of metabolomics researchers up to date with all the software tools, resources, and databases developed in 2019, in one place.

中文翻译：

---

代谢组学中的软件工具，数据库和资源：2018年至2019年的更新

摘要

代谢组学已经从发现和功能基因组学工具发展成为一门学科，现在已成为大数据驱动的精密医学时代的基石。至少可以说，样品制备策略和分析技术已经取得了巨大的发展，与数据分析保持同步是充满挑战的。这篇综述介绍并简要介绍了大约100种代谢组学软件资源，工具，数据库和其他实用程序，这些资源，工具，数据库和其他实用程序已在2019年浮出水面或有所改进。表1提供了工具的计算依赖性，根据实用程序和易用性对资源进行了分类，提供指向可以下载或使用工具的网页的超链接。这篇综述旨在使代谢组学研究人员社区保持最新状态，将其在2019年开发的所有软件工具，资源和数据库集中在一处。