Colony: a framework for reproducible and easy-to-use data analysis pipelines for biomedical research with singularity containers
Colony can be freely downloaded on its project page: https://clipc-jpg.github.io/ColonyWebsite/. The Colony launcher's code is MIT-licensed and freely available at: https://github.com/clipc-jpg/Colony. All related assets can be found at: https://doi.org/10.7910/DVN/Z3OTWY.
Authors
- Martin Dugas (ORCID: https://orcid.org/0000-0001-9740-0788)
- Mohammad Al-Abdullah
- Sebastian Eschner
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1093/bioadv/vbaf304
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft