7,078 results found
    1. Structural Biology and Molecular Biophysics

    Cutting Edge: Collaboration gets the most out of software

    Andrew Morin et al.
    By centralizing many of the tasks associated with the upkeep of scientific software, SBGrid allows researchers to spend more of their time on research.
    1. Human Biology and Medicine

    Point of View: Competency-based assessment for the training of PhD students and early-career scientists

    Michael F Verderame et al.
    A method to assess the training of scientists, based on a set of 10 core competencies, is proposed.
  1. Peer Review: Searching for the one

    Helga Groll
    The views of peers are important when applying for a faculty position, but so are research plans and being a good 'fit'.
  2. Careers: eLife and early career researchers

    Randy Schekman et al.
    There are many reasons for submitting your best work to eLife, especially if you are an early career researcher.
    Editorial
    Available as:
    • HTML
    • PDF
  3. Tutorial: How to draw the line in biomedical research

    Lisa Huang et al.
    When analysing the data in a two-dimensional scatter plot, researchers should consider plotting the three regression lines that can be calculated for such a plot.
    1. Computational and Systems Biology

    Meta-Research: Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines

    Zeljana Babic et al.
    The use of Research Resource Identifiers (RRIDs) improves the proper use of cell lines in the biomedical literature.
    1. Neuroscience

    Face Recognition: Babies get it right

    Hillary Hadley , Lisa Scott
    Insight
    Available as:
    • HTML
    • PDF
    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.
  4. Philosophy of Biology: Philosophical bias is the one bias that science cannot avoid

    Fredrik Andersen et al.
    Scientists should be aware of the non-empirical assumptions that influence all kinds of research.

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