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GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases
Lihua Julie Zhu1,2,3, Michael Lawrence4, Ankit Gupta5
1Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, USA. julie.zhu@umassmed.edu.
BMC Genomics
|May 17, 2017
Summary
A new R software suite called GUIDEseq analyzes CRISPR-Cas9 genome editing off-target effects. This tool aids in identifying and annotating potential unintended DNA cleavage sites for therapeutic applications.
Area of Science:
- * Molecular Biology
- * Bioinformatics
- * Genomics
Background:
- * CRISPR-Cas9 genome editing offers powerful tools for biological research and genetic disorder therapies.
- * Accurately identifying all DNA sequences targeted by CRISPR-Cas9 nucleases and their cleavage efficiency is crucial for therapeutic safety.
- * Experimental methods like GUIDE-seq enable sensitive, unbiased, genome-wide detection of nuclease cleavage sites.
Purpose of the Study:
- * To develop a flexible bioinformatics software suite for analyzing GUIDE-seq data.
- * To provide an open-source, open-development R package for processing and annotating nuclease cleavage sites.
- * To facilitate the characterization of on-target and off-target cleavage activities for various genome editing nucleases.
Main Methods:
- * Development of the GUIDEseq R package, available via Bioconductor.
- * Implementation of over 60 adjustable parameters for tailored data analysis.
- * Integration of genome annotation for identifying off-target sites near genes.
- * Inclusion of off-target cleavage score prediction and comparison functionalities.
Main Results:
- * The GUIDEseq package offers a flexible platform for analyzing GUIDE-seq data from diverse nuclease applications and species.
- * It allows customization of analysis criteria, including sequence aggregation and peak calling thresholds.
- * The software annotates potential off-target sites overlapping with genes and facilitates comparison between datasets.
- * It outputs read counts and cleavage scores for identified off-target sites, enabling detection of unexpected cleavage activity.
Conclusions:
- * The GUIDEseq package provides a comprehensive solution for analyzing GUIDE-seq data across various nuclease platforms and species.
- * Successful application in analyzing multiple GUIDE-seq datasets demonstrates its utility and robustness.
- * The freely available software, source code, and documentation promote open access and further development.
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