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    Nature Methods is taking part in Guided Open Access (OA), a pilot designed to make the process of publishing open access simpler, quicker, and more efficient. In Guided OA, an article is considered collaboratively at a group of associated journals, and authors are then guided through the process to find the best home for their work.

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    Machine learning-based approaches are being increasingly applied in life sciences research. This series of articles proposes community reporting standards, intended to help improve the reproducibility and usability of machine learning-based analyses.

Nature Methods is a Transformative Journal; authors can publish using the traditional publishing route OR via immediate gold Open Access.

Our Open Access option complies with funder and institutional requirements.


  • Lineage tracing methods help unravel complexities of cell state and differentiation programs.

    • Madhura Mukhopadhyay
    Method to Watch
  • Viral tools are a mainstay in mammalian neuroscience, but there is room for improvement.

    • Nina Vogt
    Method to Watch
  • Advances in label-free microscopy are expanding experimental observations, from biophysics to cell biology and beyond.

    • Rita Strack
    Method to Watch
  • The diverse microbial world provides unprecedented potential for exploring genome editing tools.

    • Lei Tang
    Method to Watch

Method of the Year 2021: Protein structure prediction

Protein structure prediction is our Method of the Year 2021, for the remarkable levels of accuracy achieved by deep learning-based methods in predicting the 3D structures of proteins and protein complexes, essentially solving this long-standing challenge.

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