Computational Tool Choice Impacts CRISPR Spacer-Proto spacer Detection
MOTIVATION: CRISPR spacer-protospacer matching is widely used to infer host-virus interactions in microbial and viromics studies, but the choice of sequence search or alignment tool and its reporting behavior is often under-evaluated for this specific task. RESULTS: Using synthetic, semi-synthetic, and real datasets, we benchmarked commonly used tools and observed substantial differences in recall, runtime, and resource usage across distance metrics and thresholds. Our analyses support practical defaults for large-scale spacer-target matching and clarify trade-offs between exhaustive and heuristic approaches. AVAILABILITY: Source code and benchmark workflows are available at https://github.com/UriNeri/spacer_matching_bench. Data and run artifacts are archived on Zenodo (https://doi.org/10.5281/zenodo.15171878). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors
- Rick Beeloo (ORCID: https://orcid.org/0009-0004-6984-1294)
- Simon Roux (ORCID: https://orcid.org/0000-0002-5831-5895)
- Uri Neri (ORCID: https://orcid.org/0000-0003-0894-2484)
- Antônio Pedro Camargo (ORCID: https://orcid.org/0000-0003-3913-2484)
- Brian Bushnell (ORCID: https://orcid.org/0000-0002-8140-0131)
Institutions
- University of Applied Sciences Utrecht (NL)
- Utrecht University (NL)
- Joint Genome Institute (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-06-29
- DOI
- https://doi.org/10.1093/bioinformatics/btag394
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00