Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-171 21, Sweden.
School of Pharmaceutical Sciences & Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou University, Zhengzhou, Henan Province, PR 450001, China.
Nucleic Acids Res. 2021 Jul 2;49(W1):W271-W276. doi: 10.1093/nar/gkab254.
It is essential to reveal the associations between various omics data for a comprehensive understanding of the altered biological process in human wellness and disease. To date, very few studies have focused on collecting and exhibiting multi-omics associations in a single database. Here, we present iNetModels, an interactive database and visualization platform of Multi-Omics Biological Networks (MOBNs). This platform describes the associations between the clinical chemistry, anthropometric parameters, plasma proteomics, plasma metabolomics, as well as metagenomics for oral and gut microbiome obtained from the same individuals. Moreover, iNetModels includes tissue- and cancer-specific Gene Co-expression Networks (GCNs) for exploring the connections between the specific genes. This platform allows the user to interactively explore a single feature's association with other omics data and customize its particular context (e.g. male/female specific). The users can also register their data for sharing and visualization of the MOBNs and GCNs. Moreover, iNetModels allows users who do not have a bioinformatics background to facilitate human wellness and disease research. iNetModels can be accessed freely at https://inetmodels.com without any limitation.
揭示各种组学数据之间的关联对于全面了解人类健康和疾病中改变的生物学过程至关重要。迄今为止，很少有研究集中在收集和展示单个数据库中的多组学关联。在这里，我们展示了 iNetModels，这是一个多组学生物网络（MOBN）的交互式数据库和可视化平台。该平台描述了来自同一个体的临床化学、人体测量参数、血浆蛋白质组学、血浆代谢组学以及口腔和肠道微生物组的宏基因组之间的关联。此外，iNetModels 还包括组织和癌症特异性基因共表达网络（GCN），用于探索特定基因之间的联系。该平台允许用户交互式地探索单个特征与其他组学数据的关联，并自定义其特定上下文（例如，男性/女性特定）。用户还可以注册他们的数据，以共享和可视化 MOBN 和 GCN。此外，iNetModels 允许没有生物信息学背景的用户方便地进行人类健康和疾病研究。iNetModels 可在 https://inetmodels.com 上免费访问，没有任何限制。
