Research
We believe in sharing the research findings of our teams and partners openly to accelerate understanding of human health and disease. We strongly encourage researchers to deposit manuscripts as preprints before peer review to increase access to research findings and to communicate results more quickly. Since 2015, we have supported more than 8,000 publications.
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A Crossed Laser Phase Plate for CryoEM
Yue Yu, Bridget Carragher, David Agard, Pavel Olshin, et al. (2026) | bioRxiv
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Language Modeling Materializes a World Model of Protein Biology
Salvatore Candido, Thomas Hayes, et al. (2026) | bioRxiv
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Distinct transcription factors control tissue adaptation and effector function in infant and adult memory T cells
Donna L. Farber & Peter A. Sims (2026) | Nature Immunology
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A multimodal perturbation atlas defines the phenotypic resolution of cellular morphology
Chad Liu, Manuel Leonetti, et al. (2026) | bioRxiv
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Amino acid supplementation enhances in vivo efficacy of lipid nanoparticle-mediated mRNA delivery in preclinical models
Kangfu Chen, Wenhan Wang, Amber Lennon, et al. (2026) | Science Translational Medicine
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Tissue-specific clonal selection and differentiation of CD4⁺ T cells during infection
Roham Parsa, Arpita Sushil (2026) | Nature Immunology
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AI-Guided CRISPR Screen Accelerates Discovery of New Drug Targets
Mushaine Shih, Amber Lennon, Jason Perera, et al. (2026) | bioRxiv
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Virtual Cells Need Context, Not Just Scale
Payam Dibaeinia, Sudarshan Babu, Mei Knudson, et al. (2026) | bioRxiv
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DecoderTCR: Compositional Pretraining and Entropy-Guided Decoding for TCR-pMHC Interactions
Ben Lai, Melissa Englund, Ramit Bharanikumar, et al. (2026) | bioRxiv
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Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
Giovanni Palla, Sudarshan Babu, Payam Dibaeinia, et al. (2025) | arXiv
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VariantFormer: A hierarchical transformer integrating DNA sequences with genetic variations and regulatory landscapes for personalized gene expression prediction
Sayan Ghosal, Youssef Barhomi, Tejaswini Ganapathi, et al. (2025) | bioRxiv
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A path towards AI-scale, interoperable biological data
Brian Aevermann, Andrea Califano, Chi-Li Chiu, et al. (2025) | arXiv