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CRISPR-Cas 实验的设计与分析。

Design and analysis of CRISPR-Cas experiments.

机构信息

Broad Institute of Harvard and MIT, Cambridge, MA, USA.

出版信息

Nat Biotechnol. 2020 Jul;38(7):813-823. doi: 10.1038/s41587-020-0490-7. Epub 2020 Apr 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.

摘要

现在,大量且不断扩展的 CRISPR-Cas 系统集使靶向和大规模实验中的基因组快速且灵活的操作成为可能。已经开发了许多用于设计和分析 CRISPR-Cas 实验的软件工具和分析方法,包括用于设计各种操作模式的最优指导 RNA 的资源,以及用于分析此类实验结果的资源。最近的一个主要重点是开发用于大规模基于 CRISPR 的遗传筛选数据的综合工具。随着该领域的不断发展,一个持续存在的明显挑战不仅在于创新,还在于积极维护和改进现有工具,以便跨学科的研究人员可以依靠一组稳定的优秀计算资源来进行 CRISPR-Cas 实验。

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