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piCRISPR: Physically Informed Deep Learning Models for CRISPR/Cas9 Off-Target Cleavage Prediction

2021-11-16

Abstract excerpt

CRISPR/Cas programmable nuclease systems have become ubiquitous in the field of gene editing. With progressing development, applications in in vivo therapeutic gene editing are increasingly within reach, yet limited by possible adverse side effects from unwanted edits. Recent years have thus seen continuous development of off-target prediction algorithms trained on in vitro cleavage assay data gained from immort...

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Literature Corpus work
aebac08b-e823-5638-9b2e-97d3b9d81f4b
DOI
10.1101/2021.11.16.468799
Open publication

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piCRISPR: Physically Informed Deep Learning Models for CRISPR/Cas9 Off-Target Cleavage PredictionDOI 10.1101/2021.11.16.468799
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