DL-CRISPR : a deep learning method for off-target activity prediction in CRISPR/Cas9 with data augmentation
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR- associated (Cas) system is a popular and easy to use gene-editing technique, but it has off-target risk. Cutting the off-target sites will harm the cells severely, hence in silico methods are needed to help to avoid this. Mos...
Main Authors: | Zhang, Yu, Long, Yahui, Yin, Rui, Kwoh, Chee Keong |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145675 |
Similar Items
-
CRISPR/Cas9 in Chronic Lymphocytic Leukemia
by: María Hernández-Sánchez
Published: (2022-05-01) -
CRISPR/Cas9: Transcending the Reality of Genome Editing
by: Sergiu Chira, et al.
Published: (2017-06-01) -
RNA-dependent RNA targeting by CRISPR-Cas9
by: Steven C Strutt, et al.
Published: (2018-01-01) -
Targeting Telomeres and Telomerase: Studies in Aging and Disease Utilizing CRISPR/Cas9 Technology
by: Andrew C. Brane, et al.
Published: (2019-02-01) -
Off-target effects in CRISPR/Cas9 gene editing
by: Congting Guo, et al.
Published: (2023-03-01)