Identifying essential genes across eukaryotes by machine learning

Identifying essential genes on a genome scale is resource intensive and has been performed for only a few eukaryotes. For less studied organisms essentiality might be predicted by gene homology. However, this approach cannot be applied to non-conserved genes. Additionally, divergent essentiality inf...

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Detalles Bibliográficos
Autores principales: Beder, Thomas, Aromolaran, Olufemi, Dönitz, Jürgen, Tapanelli, Sofia, Adedeji, Eunice O, Adebiyi, Ezekiel, Bucher, Gregor, Koenig, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634067/
https://www.ncbi.nlm.nih.gov/pubmed/34859210
http://dx.doi.org/10.1093/nargab/lqab110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634067/
https://www.ncbi.nlm.nih.gov/pubmed/34859210
http://dx.doi.org/10.1093/nargab/lqab110

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