Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
NPJ Biofilms Microbiomes. 2022 Oct 15;8(1):79. doi: 10.1038/s41522-022-00345-5.
Integrative analysis of microbiome and metabolome data obtained from human fecal samples is a promising avenue for better understanding the interplay between bacteria and metabolites in the human gut, in both health and disease. However, acquiring, processing, and unifying such datasets from multiple sources is a daunting and challenging task. Here we present a publicly available, simple-to-use, curated dataset collection of paired fecal microbiome-metabolome data from multiple cohorts. This data resource allows researchers to easily obtain multiple fully processed and integrated microbiome-metabolome datasets, facilitating the discovery of universal microbe-metabolite links, benchmark various microbiome-metabolome integration tools, and compare newly identified microbe-metabolite findings to other published datasets.
对人类粪便样本中获得的微生物组和代谢组数据进行综合分析，是深入了解健康和疾病状态下肠道中细菌和代谢物相互作用的一种很有前途的方法。然而，从多个来源获取、处理和统一此类数据集是一项艰巨而具有挑战性的任务。在这里，我们提供了一个公开的、易于使用的、经过精心整理的粪便微生物组-代谢组数据集集合，这些数据集来自多个队列。该数据资源使研究人员能够轻松获得多个经过充分处理和整合的微生物组-代谢组数据集，有助于发现普遍的微生物-代谢物关联，为各种微生物组-代谢组整合工具提供基准，并将新发现的微生物-代谢物结果与其他已发表的数据集进行比较。
