Efficient design of meganucleases using a machine learning approach

BACKGROUND: Meganucleases are important tools for genome engineering, providing an efficient way to generate DNA double-strand breaks at specific loci of interest. Numerous experimental efforts, ranging from in vivo selection to in silico modeling, have been made to re-engineer meganucleases to targ...

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Detalles Bibliográficos
Autores principales: Zaslavskiy, Mikhail, Bertonati, Claudia, Duchateau, Philippe, Duclert, Aymeric, Silva, George H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065607/
https://www.ncbi.nlm.nih.gov/pubmed/24934562
http://dx.doi.org/10.1186/1471-2105-15-191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065607/
https://www.ncbi.nlm.nih.gov/pubmed/24934562
http://dx.doi.org/10.1186/1471-2105-15-191

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