Gene editing strategies, such as zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs), and clustered regularly interspaced short palindromic repeat/Cas9 (CRISPR/Cas9), are revolutionizing biology. However, quantitative and sensitive detection of targeted mutations are required to evaluate and quantify the genome editing outcomes. Here we present AlleleProfileR, a new analysis tool, written in a combination of R and C++, with the ability to batch process the sequence analysis of large and complex genome editing experiments, including the recently developed base editing technologies.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932767 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0226694 | PLOS |
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