| Autor: |
Dipankar Baisya, Adithya Ramesh, Cory Schwartz, Stefano Lonardi, Ian Wheeldon |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-28540-0 |
| Popis: |
The successful use of CRISPR-based mutagenesis in non-conventional microorganisms requires high activity sgRNAs. Here, the authors present DeepGuide, a neural network-based architecture, that learns from genome-wide CRISPR activity profiles to accurately design Cas9 and Cas12a sgRNAs with high activity in the oleaginous yeast Yarrowia lipolytica. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink