Rubin, Alan F.

BET inhibitor resistance emerges from leukaemia stem cells

Fong, C. Y., Gilan, O., Lam, E. Y. N., Rubin, A. F., Ftouni, S., Tyler, D., Stanley, K., Sinha, D., Yeh, P., Morison, J., et al. (2015) · Nature

Protein Degradation and InhibitorsChromatin Remodeling and Cancer

Cited by 545

A statistical framework for analyzing deep mutational scanning data

Rubin, A. F., Gelman, H., Lucas, N., Bajjalieh, S. M., Papenfuss, A. T., Speed, T. P., & Fowler, D. M. (2017) · Genome Biology

CRISPR and Genetic EngineeringGenomics and Rare Diseases

Cited by 262

Recommendations for the collection and use of multiplexed functional data for clinical variant interpretation

On behalf of the Brotman Baty Institute Mutational Scanning Working Group, Gelman, H., Dines, J. N., Berg, J., Berger, A. H., Brnich, S., Hisama, F. M., James, R. G., Rubin, A. F., Shendure, J., et al. (2019) · Genome Medicine

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 81

Mutation patterns in cancer genomes

Rubin, A. F., & Green, P. (2009) · Proceedings of the National Academy of Sciences

Cancer Genomics and DiagnosticsGenomics and Phylogenetic Studies

Cited by 80

MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays

Rubin, A. F., Stone, J., Bianchi, A. H., Capodanno, B. J., Da, E. Y., Dias, M., Esposito, D., Frazer, J., Fu, Y., Grindstaff, S. B., et al. (2025) · Genome Biology

Genomics and Rare DiseasesCRISPR and Genetic Engineering

Cited by 80

Using multiplexed functional data to reduce variant classification inequities in underrepresented populations

Dawood, M., Fayer, S., Pendyala, S., Post, M., Kalra, D., Patterson, K., Venner, E., Muffley, L. A., Fowler, D. M., Rubin, A. F., et al. (2024) · Genome Medicine

Genomics and Rare DiseasesRace, Genetics, and Society

Cited by 31

Genomics 2 Proteins portal: A resource and discovery tool for linking genetic screening outputs to protein sequences and structures

Kwon, S., Safer, J., Nguyen, D. T., Hoksza, D., May, P., Arbesfeld, J. A., Rubin, A. F., Campbell, A. J., Burgin, A., & Iqbal, S. (2024) · Nature Methods

Genomics and Rare DiseasesProtein Structure and Dynamics

Cited by 29

Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023

Allen, S., Garrett, A., Muffley, L., Fayer, S., Foreman, J., Adams, D. J., Hurles, M., Rubin, A. F., Roth, F. P., Starita, L. M., et al. (2024) · European Journal of Human Genetics

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 17

Multiplex and multimodal mapping of variant effects in secreted proteins via MultiSTEP

Popp, N. A., Powell, R. L., Wheelock, M. K., Holmes, K. J., Zapp, B. D., Sheldon, K. M., Fletcher, S. N., Wu, X., Fayer, S., Rubin, A. F., et al. (2025) · Nature Structural & Molecular Biology

Hemophilia Treatment and ResearchGenomics and Rare Diseases

Cited by 15

Variant scoring tools for deep mutational scanning

Çubuk, H., Jin, X., Phipson, B., Marsh, J. A., & Rubin, A. F. (2025) · Molecular Systems Biology

Genomics and Rare DiseasesCRISPR and Genetic Engineering

Cited by 13

Image-based, pooled phenotyping reveals multidimensional, disease-specific variant effects

Pendyala, S., Partington, K., Bradley, N., McEwen, A. E., Straub, G., Kim, H.-J., Fayer, S., Holmes, D. L., Sitko, K. A., Garge, R. K., et al. (2026) · Cell

Genomics and Rare DiseasesNuclear Structure and Function

Cited by 10

MaveMD: A functional data resource for genomic medicine

McEwen, A. E., Stone, J., Tejura, M., Gupta, P., Capodanno, B. J., Da, E. Y., Grindstaff, S. B., Moore, N., Reinhart, D., Snyder, A. E., et al. (2025) · Genome Medicine

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 5