ebc83f2c-9e30-47ad-8dea-6d319550669c
CRISPR-Analytics (CRISPR-A): a platform for precise analytics and simulations for gene editing
Gene editing characterization with currently available tools sometimes leads to an overestimation of the results and does not give precise relative proportions among the different types of gene edits present in an edited bulk of cells. We have developed CRISPR-Analytics, CRISPR-A, which is a comprehensive and versatile genome editing web application tool and a nextflow pipeline to give support to gene editing experimental design and analysis. CRISPR-A provides a robust gene editing analysis pipeline composed of data analysis tools and simulation. It achieves higher accuracy than current tools and expands the functionality. Analysis includes mock-based noise correction, spike-in calibrated amplification bias reduction, and advanced interactive graphical output and clustering. It also provides assessment on experimental design through the simulation of gene editing results. Therefore, CRISPR-A is ideal to support multiple kinds of experiments such as double-stranded DNA break-based engineering, base editing (BE), primer editing (PE) and homology-directed repair (HDR), without the need of specifying the used experimental approach.
Gene editing characterization with currently available tools sometimes leads to an overestimation of the results and does not give precise relative proportions among the different types of gene edits present in an edited bulk of cells. We have developed CRISPR-Analytics, CRISPR-A, which is a comprehensive and versatile genome editing web application tool and a nextflow pipeline to give support to gene editing experimental design and analysis. CRISPR-A provides a robust gene editing analysis pipeline composed of data analysis tools and simulation. It achieves higher accuracy than current tools and expands the functionality. Analysis includes mock-based noise correction, spike-in calibrated amplification bias reduction, and advanced interactive graphical output and clustering. It also provides assessment on experimental design through the simulation of gene editing results. Therefore, CRISPR-A is ideal to support multiple kinds of experiments such as double-stranded DNA break-based engineering, base editing (BE), primer editing (PE) and homology-directed repair (HDR), without the need of specifying the used experimental approach.