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2021
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.
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.
2020
Replogle JM, Norman TM, Xu A, Hussmann JA, Chen J, J Cogan Z, et al. Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nat Biotechnol. 2020 ;38(8):954-961.
Ackerman CM, Myhrvold C, Thakku SGowtham, Freije CA, Metsky HC, Yang DK, et al. Massively multiplexed nucleic acid detection with Cas13. Nature. 2020 ;582(7811):277-282.
2016
Horlbeck MA, Gilbert LA, Villalta JE, Adamson B, Pak RA, Chen Y, et al. Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation. Elife. 2016 ;5.
Adamson B, Norman TM, Jost M, Cho MY, Nuñez JK, Chen Y, et al.. A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response. Cell. 2016 ;167(7):1867-1882.e21.