清脆的
计算机科学
集合(抽象数据类型)
计算生物学
比例(比率)
数据科学
生物
软件工程
遗传学
程序设计语言
量子力学
基因
物理
作者
Ruth E. Hanna,John G. Doench
标识
DOI:10.1038/s41587-020-0490-7
摘要
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.
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