Suppr超能文献

WikiPathways:一个将代谢组学与其他组学研究联系起来的多方面的途径数据库。

WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research.

机构信息

Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, 6229 ER Maastricht, The Netherlands.

Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, 6229 ER Maastricht, The Netherlands.

出版信息

Nucleic Acids Res. 2018 Jan 4;46(D1):D661-D667. doi: 10.1093/nar/gkx1064.

Abstract

WikiPathways (wikipathways.org) captures the collective knowledge represented in biological pathways. By providing a database in a curated, machine readable way, omics data analysis and visualization is enabled. WikiPathways and other pathway databases are used to analyze experimental data by research groups in many fields. Due to the open and collaborative nature of the WikiPathways platform, our content keeps growing and is getting more accurate, making WikiPathways a reliable and rich pathway database. Previously, however, the focus was primarily on genes and proteins, leaving many metabolites with only limited annotation. Recent curation efforts focused on improving the annotation of metabolism and metabolic pathways by associating unmapped metabolites with database identifiers and providing more detailed interaction knowledge. Here, we report the outcomes of the continued growth and curation efforts, such as a doubling of the number of annotated metabolite nodes in WikiPathways. Furthermore, we introduce an OpenAPI documentation of our web services and the FAIR (Findable, Accessible, Interoperable and Reusable) annotation of resources to increase the interoperability of the knowledge encoded in these pathways and experimental omics data. New search options, monthly downloads, more links to metabolite databases, and new portals make pathway knowledge more effortlessly accessible to individual researchers and research communities.

摘要

WikiPathways(wikipathways.org)捕获了生物途径中所代表的集体知识。通过以经过精心整理的、可机读的方式提供数据库,实现了组学数据分析和可视化。WikiPathways 和其他途径数据库被许多领域的研究小组用于分析实验数据。由于 WikiPathways 平台的开放和协作性质,我们的内容不断增长,并且变得更加准确,这使得 WikiPathways 成为一个可靠且丰富的途径数据库。然而,以前的重点主要是基因和蛋白质,导致许多代谢物只有有限的注释。最近的整理工作侧重于通过将未映射的代谢物与数据库标识符相关联并提供更详细的交互知识,来改善代谢和代谢途径的注释。在这里,我们报告了持续增长和整理工作的结果,例如,在 WikiPathways 中注释的代谢物节点数量增加了一倍。此外,我们介绍了我们的 Web 服务的 OpenAPI 文档以及资源的 FAIR(可发现、可访问、可互操作和可重用)注释,以提高这些途径和实验组学数据中编码知识的互操作性。新的搜索选项、每月下载量、更多的代谢物数据库链接以及新的门户,使得途径知识更容易被个体研究人员和研究社区获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a4/5753270/9e8545ec5246/gkx1064fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验