Abstract
CRISPR-Cas technology offers a versatile toolbox for genome editing, with applications in various cancer-related fields such as functional genomics, immunotherapy, synthetic lethality and drug resistance, metastasis, genome regulation, chromatic accessibility and RNA-targeting. The variety of screening platforms and questions in which they are used have caused the development of a wide array of analytical methods for CRISPR analysis. In this review, we focus on the algorithms and frameworks used in the computational analysis of pooled CRISPR knockout (KO) screens and highlight some of the most significant target discoveries made using these methods. Lastly, we offer perspectives on the design and analysis of state-of-art multiplex screening for genetic interactions.
Cite
CITATION STYLE
Colic, M., & Hart, T. (2021, December 1). Common computational tools for analyzing CRISPR screens. Emerging Topics in Life Sciences. Portland Press Ltd. https://doi.org/10.1042/ETLS20210222
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