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Technologies and Computational Analysis Strategies for CRISPR Applications.
Molecular Cell ( IF 14.5 ) Pub Date : 2020-07-02 , DOI: 10.1016/j.molcel.2020.06.012
Kendell Clement 1 , Jonathan Y Hsu 1 , Matthew C Canver 2 , J Keith Joung 3 , Luca Pinello 1
Affiliation  

The CRISPR-Cas system offers a programmable platform for eukaryotic genome and epigenome editing. The ability to perform targeted genetic and epigenetic perturbations enables researchers to perform a variety of tasks, ranging from investigating questions in basic biology to potentially developing novel therapeutics for the treatment of disease. While CRISPR systems have been engineered to target DNA and RNA with increased precision, efficiency, and flexibility, assays to identify off-target editing are becoming more comprehensive and sensitive. Furthermore, techniques to perform high-throughput genome and epigenome editing can be paired with a variety of readouts and are uncovering important cellular functions and mechanisms. These technological advances drive and are driven by accompanying computational approaches. Here, we briefly present available CRISPR technologies and review key computational advances and considerations for various CRISPR applications. In particular, we focus on the analysis of on- and off-target editing and CRISPR pooled screen data.



中文翻译:

CRISPR 应用的技术和计算分析策略。

CRISPR-Cas系统为真核基因组和表观基因组编辑提供了一个可编程平台。进行有针对性的遗传和表观遗传扰动的能力使研究人员能够执行各种任务,从调查基础生物学问题到潜在开发治疗疾病的新疗法。虽然 CRISPR 系统已被设计为以更高的精度、效率和灵活性靶向 DNA 和 RNA,但识别脱靶编辑的检测方法也变得更加全面和灵敏。此外,进行高通量基因组和表观基因组编辑的技术可以与各种读数相结合,并揭示重要的细胞功能和机制。这些技术进步推动并受伴随的计算方法的驱动。在这里,我们简要介绍了可用的 CRISPR 技术,并回顾了各种 CRISPR 应用的关键计算进展和注意事项。我们特别关注脱靶编辑和 CRISPR 汇总筛选数据的分析。

更新日期:2020-07-02
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