HI-FEVER: a Nextflow pipeline for the high-throughput discovery and annotation of endogenous viral elements
The HI-FEVER source code is available on GitHub at https://github.com/PaleovirologyLab/hi-fever. Minimal reference databases, test datasets and benchmarking results are hosted on the Open Science Framework at https://osf.io/y357r. A detailed wiki is available at https://github.com/PaleovirologyLab/hi-fever/wiki, including usage instructions, parameter descriptions, and guidance on interpreting outputs. The pipeline includes a Pixi environment compatible with Conda and Apptainer containerization, and Docker images. HI-FEVER has been tested on Linux, Windows (via WSL2), and macOS (Intel and ARM64).
Authors
- Emma Fay Harding (ORCID: https://orcid.org/0000-0001-5067-962X)
- Aris Katzourakis (ORCID: https://orcid.org/0000-0003-3328-6204)
- Cormac M. Kinsella (ORCID: https://orcid.org/0000-0001-9865-4608)
- Jose Gabriel Nino Barreat (ORCID: https://orcid.org/0000-0002-4589-9473)
- Laura Muñoz-Baena
Institutions
- Natural History Museum (GB)
- Swedish Museum of Natural History (SE)
- University of Oxford (GB)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1093/bioinformatics/btaf610
- Primary Topic
- Poxvirus research and outbreaks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Oxford