CRISPRpic: Fast and precise analysis for CRISPR-induced mutations via prefixed index counting
HoJoon LeeiD, Howard Y. ChangiD, Seung Woo ChoiD, Hanlee P. JiiD
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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