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Seven technologies to watch in 2022

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  • Michael Eisenstein

Abstract

Our fifth annual round-up of the tools that look set to shake up science this year.

Suggested Citation

  • Michael Eisenstein, 2022. "Seven technologies to watch in 2022," Nature, Nature, vol. 601(7894), pages 658-661, January.
    • Handle: RePEc:nat:nature:v:601:y:2022:i:7894:d:10.1038_d41586-022-00163-x
    DOI: 10.1038/d41586-022-00163-x
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    Cited by:

    1. Yin Liu & Xinyi Liu & Dongyi Wei & Lu Dang & Xiaoran Xu & Shisheng Huang & Liwen Li & Sanyun Wu & Jinxian Wu & Xiaoyan Liu & Wenjun Sun & Wanyu Tao & Yongchang Wei & Xingxu Huang & Kui Li & Xinjie Wan, 2024. "CoHIT: a one-pot ultrasensitive ERA-CRISPR system for detecting multiple same-site indels," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Chen-Rui Xia & Zhi-Jie Cao & Xin-Ming Tu & Ge Gao, 2023. "Spatial-linked alignment tool (SLAT) for aligning heterogenous slices," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Rui Chen & Jiasu Xu & Boqian Wang & Yi Ding & Aynur Abdulla & Yiyang Li & Lai Jiang & Xianting Ding, 2024. "SpiDe-Sr: blind super-resolution network for precise cell segmentation and clustering in spatial proteomics imaging," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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