Determining population structure from k-mer frequencies
This study shows that PCA, together with the clustering algorithm, is able to detect population structure from k-mer frequencies and can separate samples of admixed and non-admixed origin. Using k-mer frequencies to determine population structure has the potential to avoid some challenges of existing methods and may even improve on estimates from small samples.
Authors
- Yana Hrytsenko (ORCID: https://orcid.org/0000-0002-4683-8883)
- Rachel S. Schwartz (ORCID: https://orcid.org/0000-0001-7414-9893)
- Noah M. Daniels (ORCID: https://orcid.org/0000-0002-9538-825X)
Institutions
- University of Rhode Island (US)
Publication Details
- Journal
- PeerJ
- Published
- 2025-03-05
- DOI
- https://doi.org/10.7717/peerj.18939
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00