JACKIE: Fast Enumeration of Genome-Wide Single- and Multicopy CRISPR Target Sites and Their Off-Target Numbers

BioinformaticsCheng LabCRISPR/Cas + TALENSynthetic Biology + Genome Engineering
Jacqueline Jufen Zhu, Albert Wu Cheng
The CRISPR Journal, doi: 10.1089/crispr.2022.0042
Publication year: 2022

Zinc finger protein-, transcription activator like effector-, and CRISPR-based methods for genome and epigenome editing and imaging have provided powerful tools to investigate functions of genomes. Targeting sequence design is vital to the success of these experiments. Although existing design software mainly focus on designing target sequence for specific elements, we report here the implementation of Jackie and Albert’s Comprehensive K-mer Instances Enumerator (JACKIE), a suite of software for enumerating all single- and multicopy sites in the genome that can be incorporated for genome-scale designs as well as loaded onto genome browsers alongside other tracks for convenient web-based graphic-user-interface-enabled design. We also implement fast algorithms to identify sequence neighborhoods or off-target counts of targeting sequences so that designs with low probability of off-target can be identified among millions of design sequences in reasonable time. We demonstrate the application of JACKIE-designed CRISPR site clusters for genome imaging.

Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data

BioinformaticsCheng LabEpigenetics
Haitham Ashoor, Xiaowen Chen, Wojciech Rosikiewicz, Jiahui Wang, Albert Cheng, Ping Wang, Yijun Ruan & Sheng Li
Nature Communications 11:1173. doi: 10.1038/s41467-020-14974-x
Publication year: 2020