研究总结CRISPR–Cas实验的设计和分析
2020-04-19 来源:小柯机器人
近日,美国哈佛大学与麻省理工学院联合的博德研究所John G. Doench等研究人员总结了CRISPR–Cas实验的设计和分析。这一综述论文于2020年4月13日在线发表在国际学术期刊《自然—生物技术》上。
目前,庞大且不断扩展的CRISPR-Cas系统可在目标实验和大规模实验中快速且灵活地操作基因组。人们已经开发了许多软件工具和分析方法用于CRISPR–Cas实验的设计和分析,包括在不同操纵模式下优异向导RNA的设计以及对此类实验结果的分析。
研究人员表示,近期研究中的一个主要重点是开发综合工具,从而用于大规模的CRISPR基因筛选数据。随着这一领域的不断发展,现有的挑战不仅在于创新,更需要积极维护和改进现有工具,进而促使不同学科的研究人员可以依靠稳定的计算资源来进行CRISPR-Cas实验。
附:英文原文
Title: Design and analysis of CRISPR–Cas experiments
Author: Ruth E. Hanna, John G. Doench
Issue&Volume: 2020-04-13
Abstract: A large and ever-expanding set of CRISPR–Cas systems now enables the rapid and flexible manipulation of genomes in both targeted and large-scale experiments. Numerous software tools and analytical methods have been developed for the design and analysis of CRISPR–Cas experiments, including resources to design optimal guide RNAs for various modes of manipulation and to analyze the results of such experiments. A major recent focus has been the development of comprehensive tools for use on data from large-scale CRISPR-based genetic screens. As this field continues to progress, a clear ongoing challenge is not only to innovate, but to actively maintain and improve existing tools so that researchers across disciplines can rely on a stable set of excellent computational resources for CRISPR–Cas experiments.
DOI: 10.1038/s41587-020-0490-7
Source: https://www.nature.com/articles/s41587-020-0490-7
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