ODNA: identification of organellar DNA by machine learning

MOTIVATION: Identifying organellar DNA, such as mitochondrial or plastid sequences, inside a whole genome assembly, remains challenging and requires biological background knowledge. To address this, we developed ODNA based on genome annotation and machine learning to fulfill. RESULTS: ODNA is a soft...

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Detalles Bibliográficos
Autores principales: Martin, Roman, Nguyen, Minh Kien, Lowack, Nick, Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229373/
https://www.ncbi.nlm.nih.gov/pubmed/37195463
http://dx.doi.org/10.1093/bioinformatics/btad326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229373/
https://www.ncbi.nlm.nih.gov/pubmed/37195463
http://dx.doi.org/10.1093/bioinformatics/btad326

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