REMAG: Recovering high-quality Eukaryotic genomes from complex metagenomes v0.3.0

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1. Verfasser: Gómez-Pérez, Daniel
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Veröffentlicht: Zenodo 2025
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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
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publishDate 2025
publisher Zenodo
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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