Laboratory of Lipid Metabolism and Cancer, Department of Oncology, KU Leuven, 3000 Leuven, Belgium.
genOway, Lyon F69007, France.
Sci Rep. 2016 Jul 1;6:28973. doi: 10.1038/srep28973.
The advent of next generation gene editing technologies has revolutionized the fields of genome engineering in allowing the generation of gene knockout models and functional gene analysis. However, the screening of resultant clones remains challenging due to the simultaneous presence of different indels. Here, we present CRISP-ID, a web application which uses a unique algorithm for genotyping up to three alleles from a single Sanger sequencing trace, providing a robust and readily accessible platform to directly identify indels and significantly speed up the characterization of clones.
下一代基因编辑技术的出现彻底改变了基因组工程领域，使基因敲除模型和功能基因分析成为可能。然而，由于不同的插入缺失（indels）同时存在，导致对结果克隆的筛选仍然具有挑战性。在这里，我们介绍了 CRISP-ID，这是一个网络应用程序，它使用一种独特的算法从单个 Sanger 测序轨迹中对多达三个等位基因进行基因分型，为直接鉴定插入缺失并显著加快克隆特征的鉴定提供了一个强大且易于访问的平台。
