A statistical assessment tool for Cas9-mediated substitutions in high-throughput sequencing data

High-throughput sequencing is the primary means of assessing indel and substitution frequencies in bulk populations of cells in the gene editing field. However, it is difficult to detect bona fide substitutions, which are embedded among experimentally-induced substitution errors, in high-throughput sequencing data. we developed a novel analysis method, named CRISPR-Sub, to statistically detect Cas9-mediated substitutions in high-throughput sequencing data by comparing Mock- and CRISPR-treated samples.

Citation info: Hwang G-H. et al. CRISPR-Sub: analysis of DNA substitution mutations caused by CRISPR-Cas9 in human cells. Computational and Structural Biotechnology Journal 18, 1686-1694 (2020).

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Sequencing Data

Control Data

Basic Information

Analysis Parameters