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ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning

The number of published metagenome assemblies is rapidly growing due to advances in sequencing technologies. However, sequencing errors, variable coverage, repetitive genomic regions, and other factors can produce misassemblies, which are challenging to detect for taxonomically novel genomic data. A...

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Detalles Bibliográficos
Autores principales: Mineeva, Olga, Danciu, Daniel, Schölkopf, Bernhard, Ley, Ruth E., Rätsch, Gunnar, Youngblut, Nicholas D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174551/
https://www.ncbi.nlm.nih.gov/pubmed/37126495
http://dx.doi.org/10.1371/journal.pcbi.1011001