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bioRxiv · 10.1101/416768

CRISPRpic: Fast and precise analysis for CRISPR-induced mutations via prefixed index counting

Cho, S. W.·Lee, H.·Chang, H. Y.·Ji, H. P.
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Abstract

Analysis of CRISPR-induced mutations at targeted loci can be achieved by PCR amplification followed by massively parallel sequencing. We developed a novel algorithm, called CRISPRpic, to analyze sequencing reads from CRISPR experiments via counting exact-matches and pattern-searching. Compared to other methods that are based on sequence alignment, CRISPRpic provides precise mutation calling and ultrafast analysis of sequencing results. The Python script for CRISPRpic is available at https://github.com/compbio/CRISPRpic.

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Cho, S. W., Lee, H., Chang, H. Y., Ji, H. P.. 2018-09-13. CRISPRpic: Fast and precise analysis for CRISPR-induced mutations via prefixed index counting. https://doi.org/10.1101/416768

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