SCiMS: Sex Calling in Metagenomic Sequences
SCiMS provides an accurate, scalable, and cross-species generalizable solution for host sex classification in metagenomic datasets, even when host DNA is minimal. By enabling the recovery of missing sex metadata, it serves as a quality-control tool for ensuring the integrity of analyses in microbiome research. SCiMS is freely available at http://github.com/davenport-lab/SCiMS.
Authors
- Emily Davenport (ORCID: https://orcid.org/0000-0002-6938-4933)
- Hanh N. Tran (ORCID: https://orcid.org/0000-0002-0563-9490)
- Kobie J. Kirven (ORCID: https://orcid.org/0000-0002-8627-0743)
Institutions
- Pennsylvania State University (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-02-18
- DOI
- https://doi.org/10.64898/2026.02.17.705110
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health