Machine-learning approach expands the repertoire of anti-CRISPR protein families
CRISPR-Cas is a host adaptive immunity system and viruses harbor diverse anti-CRISPR proteins (Acrs). Here, the authors develop a random forest machine-learning approach to predict Acrs, identifying 2500 candidate Acr families, which expand the current repertoire of predicted Acrs by two orders of m...
Guardado en:
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2020
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/ebeb6afe4a8347318cf5044cb7657ab8 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | CRISPR-Cas is a host adaptive immunity system and viruses harbor diverse anti-CRISPR proteins (Acrs). Here, the authors develop a random forest machine-learning approach to predict Acrs, identifying 2500 candidate Acr families, which expand the current repertoire of predicted Acrs by two orders of magnitude. |
|---|