Listgarten, Jennifer

Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9

Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimberg, E. W., Donovan, K. F., Smith, I., Tothova, Z., Wilen, C., Orchard, R., et al. (2016) · Nature Biotechnology

CRISPR and Genetic EngineeringRNA Interference and Gene Delivery

Cited by 4,637

FaST linear mixed models for genome-wide association studies

Lippert, C., Listgarten, J., Liu, Y., Kadie, C. M., Davidson, R. I., & Heckerman, D. (2011) · Nature Methods

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 1,209

Rethinking drug design in the artificial intelligence era

Schneider, P., Walters, W. P., Plowright, A. T., Sieroka, N., Listgarten, J., Goodnow, R. A., Fisher, J., Jansen, J. M., Duca, J. S., Rush, T. S., et al. (2020) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and Education

Cited by 894

Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs

Listgarten, J., Weinstein, M., Kleinstiver, B. P., Sousa, A. A., Joung, J. K., Crawford, J., Gao, K., Hoang, L., Elibol, M., Doench, J. G., et al. (2018) · Nature Biomedical Engineering

CRISPR and Genetic EngineeringRNA regulation and disease

Cited by 336

Orthologous CRISPR–Cas9 enzymes for combinatorial genetic screens

Najm, F. J., Strand, C., Donovan, K. F., Hegde, M., Sanson, K. R., Vaimberg, E. W., Sullender, M. E., Hartenian, E., Kalani, Z., Fusi, N., et al. (2018) · Nature Biotechnology

CRISPR and Genetic EngineeringRNA Interference and Gene Delivery

Cited by 279

let-7 miRNAs Can Act through Notch to Regulate Human Gliogenesis

Patterson, M., Gaeta, X., Loo, K., Edwards, M., Smale, S., Cinkornpumin, J., Xie, Y., Listgarten, J., Azghadi, S., Douglass, S. M., et al. (2014) · Stem Cell Reports

Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation

Cited by 103

Optimal trade-off control in machine learning–based library design, with application to adeno-associated virus (AAV) for gene therapy

Zhu, D., Brookes, D. H., Busia, A., Carneiro, A., Fannjiang, C., Popova, G., Shin, D., Donohue, K. C., Lin, L. F., Miller, Z. M., et al. (2024) · Science Advances

Virus-based gene therapy researchRNA Interference and Gene Delivery

Cited by 63

Learning antibody sequence constraints from allelic inclusion

Jagota, M., Hsu, C., Mazumder, T., Sung, K., DeWitt, W. S., Listgarten, J., Matsen IV, F. A., Ye, C. J., & Song, Y. S. (2025) · Cell Systems

Monoclonal and Polyclonal Antibodies ResearchT-cell and B-cell Immunology

Cited by 2

Learning antibody sequence constraints from allelic inclusion

Jagota, M., Hsu, C., Mazumder, T., Sung, K., DeWitt, W. S., Listgarten, J., Matsen, F. A., Ye, C. J., & Song, Y. S. (2024) · Cell Systems

Monoclonal and Polyclonal Antibodies ResearchT-cell and B-cell Immunology

Cited by 2