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CRISPRMatch: An Automatic Calculation and Visualization Tool for High-throughput CRISPR Genome-editing Data Analysis.

Qi You1,2, Zhaohui Zhong3, Qiurong Ren3

  • 1Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-Innovation Centre for Modern Production Technology of Grain Crops, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou 225009, China.

International Journal of Biological Sciences
|July 11, 2018
PubMed
Summary
This summary is machine-generated.

We developed CRISPRMatch, an automated toolkit for analyzing CRISPR genome editing data from next-generation sequencing (NGS). This Python tool simplifies mutation calculation and efficiency evaluation for CRISPR-Cas9 and CRISPR-Cpf1 systems.

Keywords:
CRISPRNGS dataautomatic pipelinegenome-editing efficiencymutation calculation

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Custom-designed nucleases like CRISPR-Cas9 and CRISPR-Cpf1 enable precise genome editing.
  • High-throughput sequencing (NGS) is effective for assessing nuclease efficiency due to its coverage, cost, and quantifiability.
  • Existing NGS data analysis lacks integrated, user-friendly pipelines for comprehensive genome editing assessment.

Purpose of the Study:

  • To develop an automated, stand-alone toolkit for processing and analyzing high-throughput genome-editing data.
  • To provide a user-friendly pipeline for calculating mutation frequency, evaluating editing efficiency, and visualizing results.
  • To support the analysis of data generated by CRISPR-Cas9 and CRISPR-Cpf1 nucleases.

Main Methods:

  • Developed a Python-based toolkit named CRISPRMatch.
  • Integrated essential analysis steps including read mapping, normalization, mutation frequency calculation (insertions/deletions), and efficiency/accuracy evaluation.
  • Implemented data visualization features including tables and figures.

Main Results:

  • CRISPRMatch automates the processing of NGS data from CRISPR nuclease-transformed protoplasts.
  • The toolkit accurately calculates mutation frequencies and evaluates genome editing efficiency and accuracy.
  • CRISPRMatch supports both CRISPR-Cas9 and CRISPR-Cpf1 systems.

Conclusions:

  • CRISPRMatch offers a comprehensive and automated solution for analyzing CRISPR genome editing NGS data.
  • The toolkit enhances the usability and interpretability of genome editing experiments.
  • The integrated code is publicly available on GitHub for broader accessibility and application.