938 results found
    1. Genetics and Genomics

    Science Forum: The single-cell eQTLGen consortium

    MGP van der Wijst et al.
    The single-cell eQTLGen consortium aims to pinpoint the cellular contexts in which disease-causing genetic variants affect gene expression and its regulation.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Computer-guided design of optimal microbial consortia for immune system modulation

    Richard R Stein et al.
    A computational method is presented that quantifies the effect that specific bacteria in the gut have on the immune system and guides the design of therapeutically potent microbial consortia to cure auto-immune disease.
    1. Ecology
    2. Physics of Living Systems

    Microbial consortia at steady supply

    Thibaud Taillefumier et al.
    In a consumer-resource model obeying the physical requirement of flux conservation, metabolic competition between microbes yields consortia of cell types that collectively resist invasion via optimal use of resources.
  1. Announcement: eLife joins the Neuroscience Peer Review Consortium

    By joining the Consortium, eLife hopes to save time for more authors, editors and reviewers in the peer review and publication of important neuroscience research.
  2. Open notebooks galore: The Structural Genomics Consortium

    Over 20 researchers will show their support for open science by sharing their data and blogging about their research projects.
    1. Ecology
    2. Computational and Systems Biology

    Community-level cohesion without cooperation

    Mikhail Tikhonov
    A model of purely competitive ecological dynamics is shown to be equivalent to adaptive evolution of a single individual, suggesting a new way to formalize the "superorganism" metaphor.
    1. Computational and Systems Biology
    2. Ecology

    Resource Competition: When communities collide

    Jason Merritt, Seppe Kuehn
    Insight
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    1. Computational and Systems Biology

    Meta-Research: Centralized scientific communities are less likely to generate replicable results

    Valentin Danchev et al.
    Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.

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