CRIS.py: A Versatile and High-throughput Analysis Program for CRISPR-based Genome Editing.

ABSTRACT: 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-generation sequencing data for both knock-out and multiple user-specified knock-in modifications from one or many edited samples. Compared to available NGS analysis programs for CRISPR based-editing, CRIS.py has many advantages: (1) the ability to analyze from

SUBMITTER: Connelly JP 

PROVIDER: S-EPMC6414496 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature