plASgraph2: using graph neural networks to detect plasmid contigs from an assembly graph

Identification of plasmids from sequencing data is an important and challenging problem related to antimicrobial resistance spread and other One-Health issues. We provide a new architecture for identifying plasmid contigs in fragmented genome assemblies built from short-read data. We employ graph ne...

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Detalles Bibliográficos
Autores principales: Sielemann, Janik, Sielemann, Katharina, Brejová, Broňa, Vinař, Tomáš, Chauve, Cedric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587606/
https://www.ncbi.nlm.nih.gov/pubmed/37869681
http://dx.doi.org/10.3389/fmicb.2023.1267695

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587606/
https://www.ncbi.nlm.nih.gov/pubmed/37869681
http://dx.doi.org/10.3389/fmicb.2023.1267695

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