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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15079737 |
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Table of Contents:
- <p> First public release of SpacekmerSDI!</p> <p>Features:</p> <ul> <li>Spaced k-mer extraction with binary masks</li> <li>Entropy-based feature calculation</li> <li>Agglomerative or KMeans clustering with silhouette optimization</li> <li>Wasserstein or Euclidean SDI matrix</li> <li>Multi-core FASTA parsing</li> <li>Exported statistics and log outputs</li> </ul> <p>Compatible with Conda (via environment.yml)</p> <p> See HOWTO.md for user guide. </p>