Cargando…
Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens
Base editors are chimeric ribonucleoprotein complexes consisting of a DNA-targeting CRISPR-Cas module and a single-stranded DNA deaminase. They enable transition of C•G into T•A base pairs and vice versa on genomic DNA. While base editors have great potential as genome editing tools for basic resear...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387386/ https://www.ncbi.nlm.nih.gov/pubmed/34433819 http://dx.doi.org/10.1038/s41467-021-25375-z |