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Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches


ABSTRACT: We conducted a two-vector CRISPR/Cas13d proliferation screening experiment. The screening library contains 10,830 sgRNAs targeting 192 protein-coding genes and 234 lncRNAs, and the screening experiment was performed using a melanoma cell line A375. It provides a unique dataset to model Cas13d sgRNA efficiency and specificity. We designed a deep learning model, named DeepCas13, to predict the sgRNA on-target activity with high accuracy from sgRNA sequences and RNA secondary structures.

ORGANISM(S): Homo sapiens

PROVIDER: GSE183256 | GEO | 2023/01/16

REPOSITORIES: GEO

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