BioinformaticsbioRxivPreprint
OptiK: An Entropy-Driven Framework for Optimal k-mer Size Selection for Bacterial Genomics
OptiK identifies the optimal k-mer size for bacterial genomics by evaluating information richness across k values using dimensionality reduction and clustering metrics.
DOI 10.1101/2025.05.21.655412