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).

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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

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article

HI-FEVER: a Nextflow pipeline for the high-throughput discovery and annotation of endogenous viral elements

Emma Fay Harding, Aris Katzourakis, Cormac M. Kinsella, Jose Gabriel Nino Barreat et al.
Bioinformatics
Poxvirus research and outbreaks
article

HI-FEVER: a Nextflow pipeline for the high-throughput discovery and annotation of endogenous viral elements

Emma Fay Harding, Aris Katzourakis, Cormac M. Kinsella, Jose Gabriel Nino Barreat, Laura Muñoz-Baena
article en

Abstract

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).

BioinformaticsVol. 41(12)
Natural History Museum (GB), Swedish Museum of Natural History (SE), University of Oxford (GB)
University of Oxford
Openalex Percentile: Top 65%
Poxvirus research and outbreaks
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