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Li VR, Zhang Z, Troyanskaya OG. CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes. Bioinformatics. 2021 ;37(Suppl_1):i342-i348.
Koblan LW, Arbab M, Shen MW, Hussmann JA, Anzalone AV, Doman JL, et al. Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nat Biotechnol. 2021 ;39(11):1414-1425.
Chen PJ, Hussmann JA, Yan J, Knipping F, Ravisankar P, Chen P-F, et al. Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell. 2021 ;184(22):5635-5652.e29.
Hussmann JA, Ling J, Ravisankar P, Yan J, Cirincione A, Xu A, et al. Mapping the genetic landscape of DNA double-strand break repair. Cell. 2021 ;184(22):5653-5669.e25.
Gu B, Gertsenstein M, Posfai E. Generation of Large Fragment Knock-In Mouse Models by Microinjecting into 2-Cell Stage Embryos. Methods Mol Biol. 2020 ;2066:89-100.
Yan J, Cirincione A, Adamson B. Prime Editing: Precision Genome Editing by Reverse Transcription. Mol Cell. 2020 ;77(2):210-212.
Chen H, Gregor T. Using RNA Tags for Multicolor Live Imaging of Chromatin Loci and Transcription in Drosophila Embryos. Methods Mol Biol. 2020 ;2166:373-384.
Chen H, Levo M, Barinov L, Fujioka M, Jaynes JB, Gregor T. Dynamic interplay between enhancer-promoter topology and gene activity. Nat Genet. 2018 ;50(9):1296-1303.