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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

269 related items for PubMed ID: 34050182

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  • 4. 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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  • 5. CRISPR-Cas9 off-targeting assessment with nucleic acid duplex energy parameters.
    Alkan F, Wenzel A, Anthon C, Havgaard JH, Gorodkin J.
    Genome Biol; 2018 Oct 26; 19(1):177. PubMed ID: 30367669
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  • 7. 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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  • 8. Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning.
    Wang D, Zhang C, Wang B, Li B, Wang Q, Liu D, Wang H, Zhou Y, Shi L, Lan F, Wang Y.
    Nat Commun; 2019 Sep 19; 10(1):4284. PubMed ID: 31537810
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  • 9. 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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  • 11. WheatCRISPR: a web-based guide RNA design tool for CRISPR/Cas9-mediated genome editing in wheat.
    Cram D, Kulkarni M, Buchwaldt M, Rajagopalan N, Bhowmik P, Rozwadowski K, Parkin IAP, Sharpe AG, Kagale S.
    BMC Plant Biol; 2019 Nov 06; 19(1):474. PubMed ID: 31694550
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  • 14. Uncertainty-aware and interpretable evaluation of Cas9-gRNA and Cas12a-gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning.
    Kirillov B, Savitskaya E, Panov M, Ogurtsov AY, Shabalina SA, Koonin EV, Severinov KV.
    Nucleic Acids Res; 2022 Jan 25; 50(2):e11. PubMed ID: 34791389
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  • 16. 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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  • 17. Computational Prediction of CRISPR/Cas9 Target Sites Reveals Potential Off-Target Risks in Human and Mouse.
    Wang Q, Ui-Tei K.
    Methods Mol Biol; 2017 Jun 29; 1630():43-53. PubMed ID: 28643248
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  • 18. CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions.
    Konstantakos V, Nentidis A, Krithara A, Paliouras G.
    Nucleic Acids Res; 2022 Jul 05; 50(W1):W191-W198. PubMed ID: 35670672
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  • 19. multicrispr: gRNA design for prime editing and parallel targeting of thousands of targets.
    Bhagwat AM, Graumann J, Wiegandt R, Bentsen M, Welker J, Kuenne C, Preussner J, Braun T, Looso M.
    Life Sci Alliance; 2020 Nov 05; 3(11):. PubMed ID: 32907859
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  • 20. Highly multiplexed genome engineering using CRISPR/Cas9 gRNA arrays.
    Kurata M, Wolf NK, Lahr WS, Weg MT, Kluesner MG, Lee S, Hui K, Shiraiwa M, Webber BR, Moriarity BS.
    PLoS One; 2018 Nov 05; 13(9):e0198714. PubMed ID: 30222773
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