研究總結(jié)CRISPR–Cas實驗的設(shè)計和分析
近日,美國哈佛大學與麻省理工學院聯(lián)合的博德研究所John G. Doench等研究人員總結(jié)了CRISPR–Cas實驗的設(shè)計和分析。這一綜述論文于2020年4月13日在線發(fā)表在國際學術(shù)期刊《自然—生物技術(shù)》上。
目前,龐大且不斷擴展的CRISPR-Cas系統(tǒng)可在目標實驗和大規(guī)模實驗中快速且靈活地操作基因組。人們已經(jīng)開發(fā)了許多軟件工具和分析方法用于CRISPR–Cas實驗的設(shè)計和分析,包括在不同操縱模式下優(yōu)異向?qū)NA的設(shè)計以及對此類實驗結(jié)果的分析。
研究人員表示,近期研究中的一個主要重點是開發(fā)綜合工具,從而用于大規(guī)模的CRISPR基因篩選數(shù)據(jù)。隨著這一領(lǐng)域的不斷發(fā)展,現(xiàn)有的挑戰(zhàn)不僅在于創(chuàng)新,更需要積極維護和改進現(xiàn)有工具,進而促使不同學科的研究人員可以依靠穩(wěn)定的計算資源來進行CRISPR-Cas實驗。
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
聲明:本文版權(quán)歸原作者所有,轉(zhuǎn)載文章僅為傳播更多信息,如作者信息標記有誤,或侵犯您的版權(quán),請聯(lián)系我們,我們將在及時修改或刪除內(nèi)容,聯(lián)系郵箱:marketing@360worldcare.com