Machine Learning-Driven Prediction of CRISPR-Cas9 Off-Target Effects and Mechanistic Insights

Machine Learning-Driven Prediction of CRISPR-Cas9 Off-Target Effects and Mechanistic Insights

The precise prediction of off-target effects in CRISPR-Cas9 genome editing is critical for ensuring the safety and efficacy of this powerful tool. This study leverages machine learning techniques to predict off-target cleavage sites and investigate the underlying mechanisms that affect cleavage effi...

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Bibliographic Details
Main Authors: Bhardwaj Anuradha, Tomar Pradeep, Nain Vikrant
Format: Article
Language:English
Published: Sciendo 2024-10-01
Series:The EuroBiotech Journal
Subjects:
crispr-cas9
machine learning
on-targets
off-targets
genome editing
Online Access:https://doi.org/10.2478/ebtj-2024-0020
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