Banimfreg Bayan Hassan, Shamayleh Abdulrahim, Alshraideh Hussam
College of Engineering, Department of Industrial Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Metabolites. 2022 Oct 21;12(10):1002. doi: 10.3390/metabo12101002.
Metabolomics has advanced from innovation and functional genomics tools and is currently a basis in the big data-led precision medicine era. Metabolomics is promising in the pharmaceutical field and clinical research. However, due to the complexity and high throughput data generated from such experiments, data mining and analysis are significant challenges for researchers in the field. Therefore, several efforts were made to develop a complete workflow that helps researchers analyze data. This paper introduces a review of the state-of-the-art computer-aided tools and databases in metabolomics established in recent years. The paper provides computational tools and resources based on functionality and accessibility and provides hyperlinks to web pages to download or use. This review aims to present the latest computer-aided tools, databases, and resources to the metabolomics community in one place.
代谢组学已从创新和功能基因组学工具发展而来,目前是大数据引领的精准医学时代的一个基础。代谢组学在制药领域和临床研究中前景广阔。然而,由于此类实验产生的复杂性和高通量数据,数据挖掘和分析对该领域的研究人员来说是重大挑战。因此,人们做出了多项努力来开发一个完整的工作流程,以帮助研究人员分析数据。本文介绍了近年来建立的代谢组学领域最先进的计算机辅助工具和数据库的综述。该论文根据功能和可访问性提供了计算工具和资源,并提供了网页超链接以便下载或使用。这篇综述旨在将最新的计算机辅助工具、数据库和资源集中呈现给代谢组学领域的研究人员。