DL-CRISPR : a deep learning method for off-target activity prediction in CRISPR/Cas9 with data augmentation

• المؤلفون الرئيسيون: Zhang, Yu, Long, Yahui, Yin, Rui, Kwoh, Chee Keong
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; CRISPR/Cas9; Data Augmentation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145675
• المؤسسة: Nanyang Technological University

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...