Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
MOE Key Lab of Cardiovascular Sciences, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Sci Rep. 2017 Jan 10;7:40200. doi: 10.1038/srep40200.
The microbiota colonized on human body is renowned as "a forgotten organ" due to its big impacts on human health and disease. Recently, microbiome studies have identified a large number of microbes differentially regulated in a variety of conditions, such as disease and diet. However, methods for discovering biological patterns in the differentially regulated microbes are still limited. For this purpose, here, we developed a web-based tool named MicroPattern to discover biological patterns for a list of microbes. In addition, MicroPattern implemented and integrated an algorithm we previously presented for the calculation of disease similarity based on disease-microbe association data. MicroPattern first grouped microbes into different sets based on the associated diseases and the colonized positions. Then, for a given list of microbes, MicroPattern performed enrichment analysis of the given microbes on all of the microbe sets. Moreover, using MicroPattern, we can also calculate disease similarity based on the shared microbe associations. Finally, we confirmed the accuracy and usefulness of MicroPattern by applying it to the changed microbes under the animal-based diet condition. MicroPattern is freely available at http://www.cuilab.cn/micropattern.
由于其对人类健康和疾病的巨大影响,定植于人体的微生物群被称为“被遗忘的器官”。最近,微生物组研究已经确定了大量在各种条件下(如疾病和饮食)差异调节的微生物。然而,用于发现差异调节微生物中生物模式的方法仍然有限。为此,我们在这里开发了一个名为 MicroPattern 的基于网络的工具,用于发现一组微生物的生物模式。此外,MicroPattern 实现并集成了我们之前提出的一种基于疾病-微生物关联数据计算疾病相似性的算法。MicroPattern 首先根据相关疾病和定植位置将微生物分为不同的组。然后,对于给定的微生物列表,MicroPattern 在所有微生物组上对给定的微生物进行富集分析。此外,使用 MicroPattern,我们还可以根据共享的微生物关联来计算疾病相似性。最后,我们通过将其应用于基于动物饮食条件下的变化微生物来验证 MicroPattern 的准确性和有用性。MicroPattern 可在 http://www.cuilab.cn/micropattern 免费获得。