Many questions in population genetics require reconstructing evolutionary history through time, such as inferring how population structure has changed throughout the past. Yet, many existing approaches have only an implicit temporal component, using quantities such as allele frequency or haplotype length as rough proxi...
Yun Deng, Jonathan K. Pritchard, J. Spence· bioRxiv· 1 citation
Here we introduce Paper2Agent, an automated framework that converts research papers into artificial intelligence (AI) agents. Paper2Agent transforms research output from passive artefacts into active systems that accelerate use and discovery. Conventional research papers require readers to understand and adapt the pape...
Jia-Cheng Miao, Joe R. Davis, Yaohui Zhang et al.· Nature· 2 citations
Summary Gene regulatory networks encode the fundamental logic of cellular functions, but systematic network mapping remains challenging especially in cell states relevant to human biology and disease. Here, we perturbed all expressed genes across 22 million primary human CD4+ T cells from four donors and developed a pr...
Ronghui Zhu, E. Dann, Jun Yan et al.· Cell· 1 citation
Using a population genetics framework, it is shown that brain-related traits have large mutational target sizes, with underlying variants shaped by strong selective constraints, contributing to a general understanding of how evolutionary forces shape heritable variation in human populations.
Huisheng Zhu, Yuval B. Simons, J. Spence et al.· Proceedings of the National...· 1 citation
A virus-like particle (VLP)-based toolkit that delivers diverse CRISPR editing modalities to human monocytes, macrophages and dendritic cells with high efficiency while preserving viability and innate immune responsiveness is presented.
Hyuncheol Jung, Pascal Devant, Carter Ching et al.· Nature Biotechnology· 0 citations
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