CRISPR-Cas9 technology allows the creation of user-defined genomic modifications in cells
and whole organisms. However, quantifying editing rates in pools of cells or identifying
correctly edited clones is tedious. Targeted next-generation sequencing provides a high-
throughput platform for optimizing editing reagents and identifying correctly modified clones,
but the large amount of data produced can be difficult to analyze. Here, we present CRIS. py,
a simple and highly versatile python-based program which concurrently analyzes next …