This app serves a diverse range of purposes in scientific research. For instance, researchers in molecular biology can utilize iTraNet to dissect intricate molecular networks governing various biological processes. By inputting transcriptome, proteome, or metabolome data, users can gain valuable insights into gene regulation mechanisms, protein interactions, metabolic pathways, and metabolite exchanges. Whether it's uncovering novel biomarkers for disease diagnosis, elucidating signaling pathways, or optimizing metabolic engineering strategies, iTraNet provides researchers with a powerful tool to analyze and visualize complex biological networks efficiently and effectively.

See owner's GitHub repository for more information: https://github.com/HikaruSugimoto/Transomics_iTraNet/tree/master

Sugimoto, H., Morita, K., Li, D., Bai, Y., Mattanovich, M., & Kuroda, S. (2023). iTraNet: A Web-Based Platform for Integrated Trans-Omics Network Visualization and Analysis. bioRxiv, 2023.11.30.569499. https://doi.org/10.1101/2023.11.30.569499

This application was not uploaded by the author, but through their publicly available Github repository, https://github.com/HikaruSugimoto/Transomics_iTraNet/tree/master.