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ROBUST-Web only runs on screens bigger than 768px in width.




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ROBUST-Web only runs on screens bigger than 768px in width.



ROBUST

ROBUST-Web is a user-friendly web implementation of the ROBUST disease module mining algorithm, with additional options to improve robustness by making use of study bias data. Taking advantage of the Drugst.One interface, ROBUST-Web supports further exploration of discovered targets via integrated gene set enrichment analysis, tissue expression annotations, and drug- protein, drug-disease, and disease-gene associations.


Availability

The ROBUST-Web application can be accessed at: https://robust-web.net


Source code
  • Web application: https://github.com/bionetslab/robust-web
  • Python package with new bias-aware edge costs: https://github.com/bionetslab/robust_bias_aware

    • Contact
    ✉  suryadipto.sarkar(_at-]fau.de
    ✉  david.b.blumenthal(_at-]fau.de

    Funding

    This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 777111 (A.M., J.B.).


    Cite

    S. Sarkar, M. Lucchetta, A. Maier, M. M. Abdrabbou, J. Baumbach, M. List, M. H. Schaefer, D. B. Blumenthal, Online bias-aware disease module mining with ROBUST-Web, Bioinformatics, Volume 39, Issue 6, 26 May 2023, https://doi.org/10.1093/bioinformatics/btad345.


    Impressum
    Prof. Dr. Jan Baumbach Chair of Computational Systems Biology
    Phone: +49-40-42838-7313 E-Mail: cosy(_at-]zbh.uni-hamburg.de Address: Prof. Dr. Jan Baumbach University of Hamburg Notkestraße 9 22607 Hamburg Germany