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Journal Abstract Search

293 related items for PubMed ID: 35758815

  • 1. DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiency.
    Elkayam S, Orenstein Y.
    Bioinformatics; 2022 Jun 24; 38(Suppl 1):i161-i168. PubMed ID: 35758815
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  • 4. Machine learning-based prediction models to guide the selection of Cas9 variants for efficient gene editing.
    Li J, Wu P, Cao Z, Huang G, Lu Z, Yan J, Zhang H, Zhou Y, Liu R, Chen H, Ma L, Luo M.
    Cell Rep; 2024 Feb 27; 43(2):113765. PubMed ID: 38358884
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  • 5. A Multiplexed CRISPR/Cas9 Editing System Based on the Endogenous tRNA Processing.
    Xie K, Yang Y.
    Methods Mol Biol; 2019 Feb 27; 1917():63-73. PubMed ID: 30610628
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  • 6. Development of a gRNA Expression and Processing Platform for Efficient CRISPR-Cas9-Based Gene Editing and Gene Silencing in Candida tropicalis.
    Li Y, Zhang L, Yang H, Xia Y, Liu L, Chen X, Shen W.
    Microbiol Spectr; 2022 Jun 29; 10(3):e0005922. PubMed ID: 35543560
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  • 8. CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.
    Li VR, Zhang Z, Troyanskaya OG.
    Bioinformatics; 2021 Jul 12; 37(Suppl_1):i342-i348. PubMed ID: 34252931
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  • 10. CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning.
    Konstantakos V, Nentidis A, Krithara A, Paliouras G.
    Nucleic Acids Res; 2022 Apr 22; 50(7):3616-3637. PubMed ID: 35349718
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  • 14. Evaluation of efficiency prediction algorithms and development of ensemble model for CRISPR/Cas9 gRNA selection.
    Chen Y, Wang X.
    Bioinformatics; 2022 Nov 30; 38(23):5175-5181. PubMed ID: 36227031
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  • 20. Genome dependent Cas9/gRNA search time underlies sequence dependent gRNA activity.
    Moreb EA, Lynch MD.
    Nat Commun; 2021 Aug 19; 12(1):5034. PubMed ID: 34413309
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