REMAG: Recovering high-quality Eukaryotic genomes from complex metagenomes v0.3.0
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2025
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| _version_ | 1866901670708903936 |
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| author | Gómez-Pérez, Daniel |
| author_facet | Gómez-Pérez, Daniel |
| contents | <p>REMAG is a specialized metagenomic binning tool designed for recovering high-quality eukaryotic genomes from mixed prokaryotic-eukaryotic samples.</p> <p><strong>Key Features:</strong></p> <ul> <li>Bacterial filtering using 4CAC XGBoost classifier</li> <li>Contrastive learning with Siamese neural networks</li> <li>HDBSCAN clustering for genome binning</li> <li>Quality assessment using eukaryotic core genes</li> <li>Iterative refinement for contamination removal</li> </ul> <p><strong>What's new in this version:</strong></p> <p>See the release notes on GitHub for detailed changes.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17404834 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | REMAG: Recovering high-quality Eukaryotic genomes from complex metagenomes v0.3.0 Gómez-Pérez, Daniel metagenomics binning eukaryotes machine learning contrastive learning bioinformatics <p>REMAG is a specialized metagenomic binning tool designed for recovering high-quality eukaryotic genomes from mixed prokaryotic-eukaryotic samples.</p> <p><strong>Key Features:</strong></p> <ul> <li>Bacterial filtering using 4CAC XGBoost classifier</li> <li>Contrastive learning with Siamese neural networks</li> <li>HDBSCAN clustering for genome binning</li> <li>Quality assessment using eukaryotic core genes</li> <li>Iterative refinement for contamination removal</li> </ul> <p><strong>What's new in this version:</strong></p> <p>See the release notes on GitHub for detailed changes.</p> |
| title | REMAG: Recovering high-quality Eukaryotic genomes from complex metagenomes v0.3.0 |
| topic | metagenomics binning eukaryotes machine learning contrastive learning bioinformatics |
| url | https://doi.org/10.5281/zenodo.17404834 |