7,884 results found
    1. Computational and Systems Biology

    Point of View: Data science for the scientific life cycle

    Daphne Ezer, Kirstie Whitaker
    Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.
  1. Scientific Publishing: Transparent reporting of research results in eLife

    M Dawn Teare
    Manuscripts should include all the experimental and statistical details that are needed to replicate the experiments and analyses reported in them.
    Editorial
    Available as:
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    1. Epidemiology and Global Health

    Science Forum: Unit of analysis issues in laboratory-based research

    Nick R Parsons et al.
    A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.
  2. Science Forum: RIPOSTE: a framework for improving the design and analysis of laboratory-based research

    Nicholas GD Masca et al.
    The RIPOSTE framework has been developed to support early and regular discussions between scientists and statisticians in order to improve the design, conduct and analysis of laboratory studies.
    1. Computational and Systems Biology

    Quantitative time-resolved analysis reveals intricate, differential regulation of standard- and immuno-proteasomes

    Juliane Liepe et al.
    Experimental and computational analyses reveal how proteasomal hydrolysis is regulated and show that peptide transport is the rate-limiting step and the main differentiating factor between human standard- and immuno-proteasomes.
    1. Computational and Systems Biology

    Selecting the most appropriate time points to profile in high-throughput studies

    Michael Kleyman et al.
    The Time Point Selection (or TPS) method is a general protocol for determining sampling rates for high throughout time series biological studies, that is efficient, cheap, scalable and works well for several different types of molecular data.
    1. Structural Biology and Molecular Biophysics
    2. Immunology and Inflammation

    Computationally-driven identification of antibody epitopes

    Casey K Hua et al.
    The combination of computational modeling and protein design can reveal key determinants of antibody–antigen binding and optimize small sets of antigen variants for efficient experimental localization of epitopes.

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