CRISPRpic: fast and precise analysis for CRISPR-induced mutations via prefixed index counting. NAR genomics and bioinformatics Lee, H., Chang, H. Y., Cho, S. W., Ji, H. P. 2020; 2 (2): lqaa012

Abstract

Analysis of CRISPR-induced mutations at targeted locus can be achieved by polymerase chain reaction amplification followed by parallel massive sequencing. We developed a novel algorithm, named as CRISPRpic, to analyze the sequencing reads for the CRISPR experiments via counting exact-matching and pattern-searching. Compare to the other methods based on sequence alignment, CRISPRpic provides precise mutation calling and ultrafast analysis of the sequencing results. Python script of CRISPRpic is available at https://github.com/compbio/CRISPRpic.

View details for DOI 10.1093/nargab/lqaa012

View details for PubMedID 32118203