Abstract
We present ampliCan, an analysis tool that unites identification, quantification and visualization of genuine genome editing events from CRISPR amplicon sequencing data. ampliCan overcomes methodological challenges suffered by other tools to estimate the true mutational efficiency in a high-throughput automated fashion. ampliCan controls for biases at every step of the analysis and generates reports that allow users to quickly identify successful editing events or potential issues with their experiments. We benchmarked ampliCan against other leading tools demonstrating that it outperformed all in the face of common confounding factors.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Posted January 17, 2018.
