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. 2021 Jul 2;49(W1):W271-W276.
doi: 10.1093/nar/gkab254.

iNetModels 2.0: an interactive visualization and database of multi-omics data

Muhammad Arif  1 , Cheng Zhang  1   2 , Xiangyu Li  1 , Cem Güngör  3 , Buğra Çakmak  3 , Metin Arslantürk  3 , Abdellah Tebani  4   5 , Berkay Özcan  3 , Oğuzhan Subaş  3 , Wenyu Zhou  6 , Brian Piening  7 , Hasan Turkez  8 , Linn Fagerberg  1 , Nathan Price  9 , Leroy Hood  9 , Michael Snyder  6 , Jens Nielsen  10 , Mathias Uhlen  1 , Adil Mardinoglu  1   11
Affiliations

iNetModels 2.0: an interactive visualization and database of multi-omics data

Muhammad Arif et al. Nucleic Acids Res. .

Abstract

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.

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Figures

Graphical Abstract
Graphical Abstract
iNetModels 2.0: an interactive visualization and database of multi-omics data.
Figure 1.
Figure 1.
(A) Summary of multi-omics data presented in iNetModels (B) Working page of iNetModels.
Figure 2.
Figure 2.
(A) Validation of the hypothesis about the supplementation of L-Serine that was associated with the decrease in the plasma triglycerides levels and liver enzyme (ALAT) in the SCAPIS-SciLifeLab Wellness Profiling study. (LINK). (B) The two main components of the supplementation (l-cysteine and l-serine) and their neighbouring analytes are presented based on multi-omics biological networks analysis (LINK). (C) The two main components of the supplementation (l-cysteine and l-serine) and their associations with the species in the gut microbiome are presented (LINK). All networks in this figure were taken from the cross-sectional overall SCAPIS-SciLifeLab Wellness Profiling study.
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