清脆的
生物导体
计算生物学
计算机科学
管道(软件)
生物
数据挖掘
遗传学
基因
操作系统
作者
Tomás C. Rodríguez,Sina Dadafarin,Henry Pratt,Pengpeng Liu,Nadia Amrani,Lihua Julie Zhu
出处
期刊:Progress in Molecular Biology and Translational Science
日期:2021-01-01
卷期号:: 31-43
被引量:16
标识
DOI:10.1016/bs.pmbts.2021.01.012
摘要
The clustered, regularly interspersed, short palindromic repeats (CRISPR) technology is revolutionizing biological studies and holds tremendous promise for treating human diseases. However, a significant limitation of this technology is that modifications can occur on off-target sites lacking perfect complementarity to the single guide RNA (sgRNA) or canonical protospacer-adjacent motif (PAM) sequence. Several in vivo and in vitro genome-wide off-target profiling approaches have been developed to inform on the fidelity of gene editing. Of these, GUIDE-seq has become one of the most widely adopted and reproducible methods. To allow users to easily analyze GUIDE-seq data generated on any sequencing platform, we developed an open-source pipeline, GS-Preprocess, that takes standard base-call output in bcl format and generate all required input data for off-target identification using bioconductor package GUIDEseq for off-target identification. Furthermore, we created a Docker image with GS-Proprocess, GUIDE-seq, and all its R and system dependencies already installed. The bundled pipeline will empower end users to streamline the analysis of GUIDE-seq data and motivate their use of higher throughput sequencing with increased multiplexing for GUIDE-seq experiments.
科研通智能强力驱动
Strongly Powered by AbleSci AI