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. 2023 May 26;39(6):btad345. doi: 10.1093/bioinformatics/btad345

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© The Author(s) 2023. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Overview of ROBUST-Web. (A) The ROBUST algorithm is implemented in a Python package. It includes study bias data obtained from IntaAt (see Section 3 for details) and computes a disease module, given a user-provided seed set and PPI network. (B) The web framework calls the Python package and stores the discovered disease module in a database for later retrieval via a stable URL. (C) For result exploration, ROBUST-Web uses the Drugst.One plugin which provides features for tissue expression, drug repurposing, enrichment analysis, and in silico validation. Figure generated with BioRender.com.