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Showing 1–9 of 9 results
Advanced filters: Author: Jayson S. Jia Clear advanced filters

  • Modelling of population flows in China enables the forecasting of the distribution of confirmed cases of COVID-19 and the identification of areas at high risk of SARS-CoV-2 transmission at an early stage.

    • Jayson S. Jia
    • Xin Lu
    • Nicholas A. Christakis
    Research
    Nature
    Volume: 582, P: 389-394

  • A catalogue of human long non-coding RNA genes and their expression profiles across samples from major human primary cell types, tissues and cell lines.

    • Chung-Chau Hon
    • Jordan A. Ramilowski
    • Alistair R. R. Forrest
    Research
    Nature
    Volume: 543, P: 199-204

  • Integrating social mixing data into epidemic models can help policy makers better understand epidemic spread. However, empirical mixing data might not be immediately available in most populations. In a recent work, a network model methodology is proposed to construct micro-level social mixing structure when empirical data are not available.

    • Kathy Leung
    • Jayson S. Jia
    • Joseph T. Wu
    News & Views
    Nature Computational Science
    Volume: 2, P: 561-562

  • Analyses of genetic variation and population structure based on over 3,000 cultivated rice (Oryza sativa) genomes reveal subpopulations that correlate with geographic location and patterns of introgression consistent with multiple rice domestication events.

    • Wensheng Wang
    • Ramil Mauleon
    • Hei Leung
    ResearchOpen Access
    Nature
    Volume: 557, P: 43-49

  • A study from the FANTOM consortium using single-molecule cDNA sequencing of transcription start sites and their usage in human and mouse primary cells, cell lines and tissues reveals insights into the specificity and diversity of transcription patterns across different mammalian cell types.

    • Alistair R. R. Forrest
    • Hideya Kawaji
    • Yoshihide Hayashizaki
    Research
    Nature
    Volume: 507, P: 462-470

  • A multilaboratory analysis characterized the ability of 27 different labs to identify 20 proteins at equimolar concentrations in a highly purified test sample mixture using mass spectrometry. The results show that while the technology is reproducible, many common experimental problems arise, and improved search engines and databases are still needed.

    • Alexander W Bell
    • Eric W Deutsch
    • Juan Antonio Vizcaíno
    Research
    Nature Methods
    Volume: 6, P: 423-430