CAPHEINE, or everything and the kitchen sink: a workflow for automating selection analyses using HyPhy
Here we present CAPHEINE, a computational workflow that starts with a set of unaligned pathogen sequences and a reference genome and performs a comprehensive exploratory evolutionary analysis of the input data. CAPHEINE pairs nicely with studies of site-level selection dynamics, gene-level positive selection, and lineage-specific shifts in selective pressure. Our workflow is portable across Mac OS, Windows, and Linux, allowing researchers to focus on results. CAPHEINE is freely available at https://github.com/veg/CAPHEINE, along with a set of usage instructions.
Authors
- Danielle Callan (ORCID: https://orcid.org/0009-0009-3690-8372)
- Sergei L Kosakovsky Pond
- Hannah Elaine Verdonk
Institutions
- Evolutionary Genomics (United States) (US)
- Temple University (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-02-24
- DOI
- https://doi.org/10.64898/2026.02.23.707482
- Primary Topic
- Evolution and Genetic Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00