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Nature Methods
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Nature Methods
@naturemethods
Nature Methods publishes cutting-edge methods, tools, analyses, resources, reviews, news and commentary, supporting life sciences research. Tweets by editors.
New York
nature.com/nmeth/
Joined March 2011
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    Nature Methods
    @naturemethods
    Jan 11, 2022
    It’s finally here!! Our Method of the Year 2021 is….Protein Structure Prediction!! nature.com/nmeth/volumes/…
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    Nature Methods
    @naturemethods
    Dec 23, 2021
    Are you curious about using organic dyes in your microscopy experiments but not sure where to start? This Perspective from @rhodamine110 and @jonathangrimm introduces readers to the world of dyes and their pros and cons for biological applications. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Oct 17, 2022
    Out today and freely available, a tool many in the image analysis community have been waiting for! PyImageJ: A library for integrating ImageJ and Python @EliceiriK @UWMadisonLOCI @ctrueden @CiminiLab @DrAnneCarpenter nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Jul 16, 2024
    Out today from the Goodarzi lab! @genophoria SwitchSeeker combines computation and experiment to identify functional RNA structural switches. Applied to the human transcriptome, it identified a novel RNA switch in the 3ʹUTR of RORC, linked to NMD. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Jan 6, 2021
    Method of the Year 2020 is...spatially resolved transcriptomics! nature.com/collections/df… Read about why we selected this topic this year in our Editorial. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Dec 6, 2024
    The wait is over!! We are thrilled to announce that we have chosen Spatial Proteomics as 2024’s Method of the Year! 🥳 For more on Spatial Proteomics and a road map to this special issue, please see this month’s Editorial or read on in this thread. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Jan 12, 2023
    It's finally here!! Our Method of the Year 2022 is....long-read sequencing! 🎉 Read our (free!) Editorial to learn why we felt the time was right to select this class of powerful technologies as the Method of the Year. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Dec 6, 2023
    It's that time of year!! 🎉We are so excited to announce our 2023 pick for Nature Methods' Method of the Year: methods for modeling development. Read the Editorial to find out why we chose this as our pick. #moty2023 nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Jun 21, 2021
    A Review paper from Peter Kharchenko @KharchenkoLab covers computational methods for scRNA-seq analyses, including their current limitations. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Jul 15, 2020
    The first complete assembly of a human chromosome!
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    Tim Stearns
    @StearnsLab
    Jul 15, 2020
    20 years after the announcement of the "working draft" of the human genome, we have the first complete assembly of a human chromosome. It's hard work to chase down every last base! rdcu.be/b5Dka
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    Nature Methods
    @naturemethods
    Nov 7, 2025
    Squidiff: a diffusion-based model to predict transcriptome response to perturbations. nature.com/articles/s4159…
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    Nature Methods
    @naturemethods
    Aug 12, 2024
    This month's Focus on advanced AI in biology also contains a series of Comments from leaders in their respective fields, who discuss the broad impacts that AI-based methods are likely to have on many areas of biological research.
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    Nature Methods
    @naturemethods
    Jul 11, 2023
    For this Focus issue, we asked experts in bioimaging from around the world to tell us what excited them about the future of bioimage analysis for the next 5-20 years. (1/n) All Focus content can also be found here: nature.com/collections/af…
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    Nature Methods
    @naturemethods
    Jul 13, 2023
    Out today: SCENIC+ is a comprehensive toolbox for inferring and analyzing enhancer-driven gene regulatory networks (eGRN) using single-cell multiomic data. @steinaerts @seppe_winter @Bravo_Potato
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    SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
    From nature.com
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