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.
Footnotes
Contributions E.V. conceived and supervised the project. J.A.G. performed wet-lab experiments and prepared datasets. X.G., G.C. and A.C. assisted in data interpretation and writing the manuscript. K.L. developed the R package and performed all computational work.
Competing financial interests The authors declare no competing financial interests.
