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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.

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  • Single-cell GET-seq (scGET-seq) enables the probing of compacted as well as accessible chromatin in single cells, covering a greater portion of the genome, which provides insights into genomic and epigenetic dynamics.

    • Lei Tang
    Research Highlight
  • Repair-seq enables efficient profiling of genetic factors involved in DNA double-strand break repair.

    • Lin Tang
    Research Highlight
  • A framework to reconstruct tissue architecture from imaging data.

    • Madhura Mukhopadhyay
    Research Highlight
  • Guidelines for improving reporting and reproduciblity in microscopy take center stage in this month’s Focus issue.

    Editorial

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