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Integrating chromatin conformation information in a self-supervised learning model improves metagenome binning
Metagenome binning is a key step, downstream of metagenome assembly, to group scaffolds by their genome of origin. Although accurate binning has been achieved on datasets containing multiple samples from the same community, the completeness of binning is often low in datasets with a small number of...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519199/ https://www.ncbi.nlm.nih.gov/pubmed/37753177 http://dx.doi.org/10.7717/peerj.16129 |