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.
bioRxiv · May 21, 2025 · PreprintBioinformatics