These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
191 related articles for article (PubMed ID: 35327601)
21. Generalizable sgRNA design for improved CRISPR/Cas9 editing efficiency. Hiranniramol K; Chen Y; Liu W; Wang X Bioinformatics; 2020 May; 36(9):2684-2689. PubMed ID: 31971562 [TBL] [Abstract][Full Text] [Related]
22. High efficiency CRISPR/Cas9 genome editing system with an eliminable episomal sgRNA plasmid in Pichia pastoris. Yang Y; Liu G; Chen X; Liu M; Zhan C; Liu X; Bai Z Enzyme Microb Technol; 2020 Aug; 138():109556. PubMed ID: 32527526 [TBL] [Abstract][Full Text] [Related]
23. Points of View on the Tools for Genome/Gene Editing. Chuang CK; Lin WM Int J Mol Sci; 2021 Sep; 22(18):. PubMed ID: 34576035 [TBL] [Abstract][Full Text] [Related]
24. Physicochemical and Functional Characterization of Differential CRISPR-Cas9 Ribonucleoprotein Complexes. Camperi J; Moshref M; Dai L; Lee HY Anal Chem; 2022 Jan; 94(2):1432-1440. PubMed ID: 34958212 [TBL] [Abstract][Full Text] [Related]
26. Conditional editing of the Wang BZ; Zhang C; Zhang JL; Sun J Yi Chuan; 2023 Jul; 45(7):593-601. PubMed ID: 37503583 [TBL] [Abstract][Full Text] [Related]
27. DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiency. Elkayam S; Orenstein Y Bioinformatics; 2022 Jun; 38(Suppl 1):i161-i168. PubMed ID: 35758815 [TBL] [Abstract][Full Text] [Related]
28. BoostMEC: predicting CRISPR-Cas9 cleavage efficiency through boosting models. Zarate OA; Yang Y; Wang X; Wang JP BMC Bioinformatics; 2022 Oct; 23(1):446. PubMed ID: 36289480 [TBL] [Abstract][Full Text] [Related]
29. R-CRISPR: A Deep Learning Network to Predict Off-Target Activities with Mismatch, Insertion and Deletion in CRISPR-Cas9 System. Niu R; Peng J; Zhang Z; Shang X Genes (Basel); 2021 Nov; 12(12):. PubMed ID: 34946828 [TBL] [Abstract][Full Text] [Related]
30. Review of CRISPR/Cas9 sgRNA Design Tools. Cui Y; Xu J; Cheng M; Liao X; Peng S Interdiscip Sci; 2018 Jun; 10(2):455-465. PubMed ID: 29644494 [TBL] [Abstract][Full Text] [Related]
31. Highly Efficient and Heritable Targeted Mutagenesis in Wheat via the Zhang S; Zhang R; Gao J; Gu T; Song G; Li W; Li D; Li Y; Li G Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480315 [TBL] [Abstract][Full Text] [Related]
32. CRISPR/Cas9 Guide RNA Design Rules for Predicting Activity. Hiranniramol K; Chen Y; Wang X Methods Mol Biol; 2020; 2115():351-364. PubMed ID: 32006410 [TBL] [Abstract][Full Text] [Related]
33. Controlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs. Kundert K; Lucas JE; Watters KE; Fellmann C; Ng AH; Heineike BM; Fitzsimmons CM; Oakes BL; Qu J; Prasad N; Rosenberg OS; Savage DF; El-Samad H; Doudna JA; Kortemme T Nat Commun; 2019 May; 10(1):2127. PubMed ID: 31073154 [TBL] [Abstract][Full Text] [Related]
34. The initiation, propagation and dynamics of CRISPR-SpyCas9 R-loop complex. Zeng Y; Cui Y; Zhang Y; Zhang Y; Liang M; Chen H; Lan J; Song G; Lou J Nucleic Acids Res; 2018 Jan; 46(1):350-361. PubMed ID: 29145633 [TBL] [Abstract][Full Text] [Related]
35. Genome Editing with CRISPR-Cas9: Can It Get Any Better? Haeussler M; Concordet JP J Genet Genomics; 2016 May; 43(5):239-50. PubMed ID: 27210042 [TBL] [Abstract][Full Text] [Related]
36. CRISPR/Cas9-mediated gene knockout is insensitive to target copy number but is dependent on guide RNA potency and Cas9/sgRNA threshold expression level. Yuen G; Khan FJ; Gao S; Stommel JM; Batchelor E; Wu X; Luo J Nucleic Acids Res; 2017 Nov; 45(20):12039-12053. PubMed ID: 29036671 [TBL] [Abstract][Full Text] [Related]
37. Disrupting Protein Expression with Double-Clicked sgRNA-Cas9 Complexes: A Modular Approach to CRISPR Gene Editing. Tijaro-Bulla S; Osman EA; St Laurent CD; McCord KA; Macauley MS; Gibbs JM ACS Chem Biol; 2023 Oct; 18(10):2156-2162. PubMed ID: 37556411 [TBL] [Abstract][Full Text] [Related]
38. CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning. Muhammad Rafid AH; Toufikuzzaman M; Rahman MS; Rahman MS BMC Bioinformatics; 2020 Jun; 21(1):223. PubMed ID: 32487025 [TBL] [Abstract][Full Text] [Related]
39. CRISPcut: A novel tool for designing optimal sgRNAs for CRISPR/Cas9 based experiments in human cells. Dhanjal JK; Radhakrishnan N; Sundar D Genomics; 2019 Jul; 111(4):560-566. PubMed ID: 29605634 [TBL] [Abstract][Full Text] [Related]
40. [sgRNA design for the CRISPR/Cas9 system and evaluation of its off-target effects]. Xie SS; Zhang Y; Zhang LS; Li GL; Zhao CZ; Ni P; Zhao SH Yi Chuan; 2015 Nov; 37(11):1125-36. PubMed ID: 26582526 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]