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atcc 25922 competent cells  (ATCC)


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  • 99

    Structured Review

    ATCC atcc 25922 competent cells
    Atcc 25922 Competent Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 52827 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/atcc+25922+competent+cells/Escherichia+coli+(Migula)+Castellani+and+Chalmers/pm41619912-117-8-8
    Average 99 stars, based on 52827 article reviews
    atcc 25922 competent cells - by Bioz Stars, 2026-10
    99/100 stars

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    Related Articles

    Recombinant:

    Article Title: Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.
    Article Snippet: Please cite this article as: Rongrong Dong , Yifei Wang , Lei Song , Jiayin Wang , Chun Yang , Xufeng Ji , Qi Zhou , Hao Wang , Xinhua Guo , Jiancheng Xu , Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques, International Journal of Antimicrobial Agents (2026), doi: https://doi.org/10.1016/j.. ijantimicag.2026.107726

    Plasmid Preparation:

    Article Title: Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.
    Article Snippet: Please cite this article as: Rongrong Dong , Yifei Wang , Lei Song , Jiayin Wang , Chun Yang , Xufeng Ji , Qi Zhou , Hao Wang , Xinhua Guo , Jiancheng Xu , Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques, International Journal of Antimicrobial Agents (2026), doi: https://doi.org/10.1016/j.. ijantimicag.2026.107726

    Transformation Assay:

    Article Title: Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.
    Article Snippet: Please cite this article as: Rongrong Dong , Yifei Wang , Lei Song , Jiayin Wang , Chun Yang , Xufeng Ji , Qi Zhou , Hao Wang , Xinhua Guo , Jiancheng Xu , Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques, International Journal of Antimicrobial Agents (2026), doi: https://doi.org/10.1016/j.. ijantimicag.2026.107726

    Clone Assay:

    Article Title: Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.
    Article Snippet: Please cite this article as: Rongrong Dong , Yifei Wang , Lei Song , Jiayin Wang , Chun Yang , Xufeng Ji , Qi Zhou , Hao Wang , Xinhua Guo , Jiancheng Xu , Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques, International Journal of Antimicrobial Agents (2026), doi: https://doi.org/10.1016/j.. ijantimicag.2026.107726

    Polymerase Chain Reaction:

    Article Title: Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.
    Article Snippet: Please cite this article as: Rongrong Dong , Yifei Wang , Lei Song , Jiayin Wang , Chun Yang , Xufeng Ji , Qi Zhou , Hao Wang , Xinhua Guo , Jiancheng Xu , Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques, International Journal of Antimicrobial Agents (2026), doi: https://doi.org/10.1016/j.. ijantimicag.2026.107726

    Amplification:

    Article Title: Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.
    Article Snippet: Please cite this article as: Rongrong Dong , Yifei Wang , Lei Song , Jiayin Wang , Chun Yang , Xufeng Ji , Qi Zhou , Hao Wang , Xinhua Guo , Jiancheng Xu , Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques, International Journal of Antimicrobial Agents (2026), doi: https://doi.org/10.1016/j.. ijantimicag.2026.107726



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