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Volume 36 Issue 10, November 2018

Image of the electrical activity from a brain connectome being fed into a computer circuit. Sani et al. show that machine learning algorithms can predict changes in mood by analyzing neural recordings from epilepsy patients (p 954). Image credit: Ella Maru Studio; Omid Sani, Yuxiao Yang and Maryam Shanechi

Editorial

  • The biotech community's decision to speak out in defense of freedom of the press is also a reaffirmation of core principles essential for the sector's success.

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News

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News Feature

  • Ambitious efforts to catalog viruses across the globe may facilitate our understanding of viral communities and ecology, boost infectious disease diagnostics and surveillance, and spur new therapeutics. Charles Schmidt investigates.

    • Charles Schmidt
    News Feature
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Correspondence

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Commentary

  • The Open Material Transfer Agreement is a material-transfer agreement that enables broader sharing and use of biological materials by biotechnology practitioners working within the practical realities of technology transfer.

    • Linda Kahl
    • Jennifer Molloy
    • Drew Endy
    Commentary Open Access
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Patents

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News & Views

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Perspective

  • Machine learning and natural language processing methods are applied to learn from PubMed searches and improve user experience.

    • Nicolas Fiorini
    • Robert Leaman
    • Zhiyong Lu
    Perspective
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Brief Communication

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Article

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Letter

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Resource

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Article

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Careers and Recruitment

  • Independent fellowships provide an opportunity for junior scientists to found their own lab directly after completing their PhD. However, these positions show a striking gender bias that has remained consistent for almost 30 years.

    • Jason M Sheltzer
    Careers and Recruitment
  • Careers and Recruitment
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