A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments
Here, the authors present SemiBin, a siamese deep neural network framework that incorporates information from reference genomes, able to extract better metagenome-assembled genomes (MAGs) in several host-associated and environmental habitats.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-29843-y |
| _version_ | 1828841863283474432 |
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| author | Shaojun Pan Chengkai Zhu Xing-Ming Zhao Luis Pedro Coelho |
| author_facet | Shaojun Pan Chengkai Zhu Xing-Ming Zhao Luis Pedro Coelho |
| author_sort | Shaojun Pan |
| collection | DOAJ |
| description | Here, the authors present SemiBin, a siamese deep neural network framework that incorporates information from reference genomes, able to extract better metagenome-assembled genomes (MAGs) in several host-associated and environmental habitats. |
| first_indexed | 2024-12-12T20:12:43Z |
| format | Article |
| id | doaj.art-3d66df9610a447cf8e9b9acf728b7a73 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-12T20:12:43Z |
| publishDate | 2022-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-3d66df9610a447cf8e9b9acf728b7a732022-12-22T00:13:28ZengNature PortfolioNature Communications2041-17232022-04-0113111210.1038/s41467-022-29843-yA deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environmentsShaojun Pan0Chengkai Zhu1Xing-Ming Zhao2Luis Pedro Coelho3Institute of Science and Technology for Brain-Inspired Intelligence, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan UniversityHere, the authors present SemiBin, a siamese deep neural network framework that incorporates information from reference genomes, able to extract better metagenome-assembled genomes (MAGs) in several host-associated and environmental habitats.https://doi.org/10.1038/s41467-022-29843-y |
| spellingShingle | Shaojun Pan Chengkai Zhu Xing-Ming Zhao Luis Pedro Coelho A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments Nature Communications |
| title | A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments |
| title_full | A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments |
| title_fullStr | A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments |
| title_full_unstemmed | A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments |
| title_short | A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments |
| title_sort | deep siamese neural network improves metagenome assembled genomes in microbiome datasets across different environments |
| url | https://doi.org/10.1038/s41467-022-29843-y |
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