ITraNet: a Web-based Platform for Integrated Trans-omics Network Visualization and Analysis

Overview

Journal Bioinform Adv

Publisher Oxford University Press

Specialty Biology

Date 2024 Oct 23

PMID 39440006

Authors

Hikaru Sugimoto

Keigo Morita

Dongzi Li

Yunfan Bai

Matthias Mattanovich

Shinya Kuroda

Affiliations

Soon will be listed here.

Abstract

Motivation: Visualization and analysis of biological networks play crucial roles in understanding living systems. Biological networks include diverse types, from gene regulatory networks and protein-protein interactions to metabolic networks. Metabolic networks include substrates, products, and enzymes, which are regulated by allosteric mechanisms and gene expression. However, the analysis of these diverse omics types is challenging due to the diversity of databases and the complexity of network analysis.

Results: We developed iTraNet, a web application that visualizes and analyses trans-omics networks involving four types of networks: gene regulatory networks, protein-protein interactions, metabolic networks, and metabolite exchange networks. Using iTraNet, we found that in wild-type mice, hub molecules within the network tended to respond to glucose administration, whereas in mice, this tendency disappeared. With its ability to facilitate network analysis, we anticipate that iTraNet will help researchers gain insights into living systems.

Availability And Implementation: iTraNet is available at https://itranet.streamlit.app/.

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