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ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning.
Mineeva, Olga; Danciu, Daniel; Schölkopf, Bernhard; Ley, Ruth E; Rätsch, Gunnar; Youngblut, Nicholas D.
Affiliation
  • Mineeva O; Department of Computer Science, ETH Zürich, Zürich, Switzerland.
  • Danciu D; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany.
  • Schölkopf B; Swiss Institute for Bioinformatics, Lausanne, Switzerland.
  • Ley RE; Department of Computer Science, ETH Zürich, Zürich, Switzerland.
  • Rätsch G; Department of Computer Science, ETH Zürich, Zürich, Switzerland.
  • Youngblut ND; Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany.
PLoS Comput Biol ; 19(5): e1011001, 2023 05.
Article in En | MEDLINE | ID: mdl-37126495
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metagenome / Deep Learning Type of study: Prognostic_studies Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metagenome / Deep Learning Type of study: Prognostic_studies Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Switzerland