ChemGenXplore: an interactive tool for exploring and analysing chemical genomic data
ChemGenXplore is freely accessible as a web application at https://chemgenxplore.kaust.edu.sa/. Source code and documentation, including instructions for local installation, are provided on GitHub (https://github.com/Hudaahmadd/ChemGenXplore). A Docker image is also available on DockerHub (https://hub.docker.com/r/hudaahmad/chemgenxplore) to ensure reproducibility and simplify installation.
Authors
- Patrick J. Moynihan (ORCID: https://orcid.org/0000-0003-4182-6223)
- Hannah M. Doherty (ORCID: https://orcid.org/0000-0002-1216-0621)
- Sam Benedict
- Huda Ahmad
- Manuel Banzhaf (ORCID: https://orcid.org/0000-0002-4682-1037)
- Danesh Moradigaravand
- James Haycocks
- Ge Zhou
Institutions
- King Abdullah University of Science and Technology (SA)
- University of Birmingham (GB)
- Newcastle University (GB)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1093/bioinformatics/btag021
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation
- King Abdullah University of Science and Technology
- Darwin Trust of Edinburgh