CRISPRAnalyzeR: Interactive analysis, annotation and documentation of pooled CRISPR screens
Jan Winter, Marc Schwering, Oliver Pelz, Benedikt RauscheriD, Tianzuo ZhaniD, Florian HeigweriD, Michael BoutrosiD
Abstract
Pooled CRISPR/Cas9 screens are a powerful and versatile tool for the systematic investigation of cellular processes in a variety of organisms. Such screens generate large amounts of data that present a new challenge to analyze and interpret. Here, we developed a web application to analyze, document and explore pooled CRISR/Cas9 screens using a unified single workflow. The end-to-end analysis pipeline features eight different hit calling strategies based on state-of-the-art methods, including DESeq2, MAGeCK, edgeR, sgRSEA, Z-Ratio, Mann-Whitney test, ScreenBEAM and BAGEL. Results can be compared with interactive visualizations and data tables. CRISPRAnalyzeR integrates meta-information from 26 external data resources, providing a wide array of options for the annotation and documentation of screens. The application was developed with user experience in mind, requiring no previous knowledge in bioinformatics. All modern operating systems are supported.\n\nAvailability and online documentation: The source code, a pre-configured docker application, sample data and a documentation can be found on our GitHub page (http://www.github.com/boutroslab/CRISPRAnalyzeR). A tutorial video can be found at http://www.crispr-analyzer.org.
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Abstract summary
Claude Opus 5.5 · xhigh effort · 2 Nov 2026 · from the abstract · CC BY-NC-ND 4.0
CRISPRAnalyzeR is a web application that unifies eight hit-calling methods and 26 external annotation resources to analyze, visualize, and document pooled CRISPR/Cas9 screens without requiring bioinformatics expertise.
Pooled clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 screens produce large volumes of data that are challenging to analyze and interpret. CRISPRAnalyzeR provides a unified web workflow that combines eight hit-calling algorithms, interactive visualizations, and annotations from 26 external data resources for users without prior bioinformatics training.
Key results
ShownCRISPRAnalyzeR provides an end-to-end web workflow for pooled CRISPR/Cas9 screen analysis, allowing users to compare hit-calling algorithms and annotate screen hits through interactive tables and visualizations.
Integrates 8 hit-calling strategies (DESeq2, MAGeCK, edgeR, sgRSEA, Z-Ratio, Mann-Whitney test, ScreenBEAM, and BAGEL) with meta-information from 26 external data resources. · Abstract
Methods, data and reproducibility
The authors built a cross-platform web application and Docker container that runs an end-to-end pooled CRISPR/Cas9 screen workflow combining eight hit-calling algorithms with interactive visualizations, data tables, and annotations from 26 external databases.
- Methods & tools
- CRISPRAnalyzeR, DESeq2, MAGeCK, edgeR, sgRSEA, Z-Ratio, Mann-Whitney test, ScreenBEAM, BAGEL
- Data & accessions
- http://www.github.com/boutroslab/CRISPRAnalyzeR
- Software & environment
- Pre-configured Docker application supporting all modern operating systems.
Limitations (1)
- The abstract provides no quantitative benchmarking, runtime metrics, or validation results on specific experimental datasets. · noted in this summary
Who should read:Read this if you want an interactive, no-code web application to run and compare multiple hit-calling methods and annotate genes in pooled CRISPR/Cas9 screens.
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