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  1. Philosophy of Biology: The challenges of big data biology

    Sabina Leonelli
    Understanding how data were collected and processed is an essential element of big data biology.
    1. Biochemistry and Chemical Biology
    2. Structural Biology and Molecular Biophysics

    Analyzing native membrane protein assembly in nanodiscs by combined non-covalent mass spectrometry and synthetic biology

    Erik Henrich et al.
    As the function of membrane proteins is often influenced by its membrane environment the presented combinatorial approach is of great value for the investigation of membrane protein complexes in natural or even manipulated lipid bilayers.
    1. Evolutionary Biology

    Genetic transformation of Spizellomyces punctatus, a resource for studying chytrid biology and evolutionary cell biology

    Edgar M Medina et al.
    Spizellomycespunctatusis a genetically tractable chytrid and model organism for comparative cell biology for understanding evolution of the cell cycle, actin dynamics, and cellularization in fungi and early eukaryotes.
    1. Cell Biology
    2. Computational and Systems Biology

    Perturbation biology nominates upstream–downstream drug combinations in RAF inhibitor resistant melanoma cells

    Anil Korkut et al.
    Data-driven systems biology models of signaling predict cellular response to untested perturbations and can nominate drug combinations to overcome drug resistance in cancer cells.
  2. eLife latest: An opportunity to review papers in Genomics and Evolutionary Biology

    eLife invites early-career researchers to join the Genomics and Evolutionary Biology reviewer pool.
  3. Early-career reviewers: Next steps in the Genomics and Evolutionary Biology trial

    eLife editors trial a new approach to including more early-stage researchers in peer review for papers in the fields of Genomics and Evolutionary Biology.
    1. Cancer Biology

    Reproducibility in Cancer Biology: The challenges of replication

    Interpreting the first results from the Reproducibility Project: Cancer Biology requires a highly nuanced approach.
    Editorial
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