Showing 221 - 240 results of 496 for search '"Single cell genomics"', query time: 0.29s Refine Results
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    Profiling Host Respiratory Responses to SARS-CoV-2 Infection by Miao, Vincent N.

    Published 2023
    “…Single-cell genomics have revolutionized the granularity with which we can dissect cellular phenotypes in both health and disease. …”
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    Thesis
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    Comprehensive comparative genomics reveals over 50 phyla of free-living and pathogenic bacteria are associated with diverse members of the amoebozoa by Yonas I. Tekle, Janae M. Lyttle, Maya G. Blasingame, Fang Wang

    Published 2021-04-01
    “…We used culture independent whole culture and single cell genomics/transcriptomics to investigate the association of bacteria with diverse amoebozoans. …”
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    Article
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    Single-cell analysis and spatial resolution of the gut microbiome by Bhoomi Madhu, Brittany M. Miller, Maayan Levy

    Published 2023-10-01
    “…Single cell genomics is a very powerful and rapidly growing field, primarily used to identify the genetic composition of microbes. …”
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    Article
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    Singling out how genes are regulated during development by Shawn M. Burgess

    Published 2022-01-01
    “…Their findings add another important piece to understanding the dynamic landscape of gene expression and regulation during early vertebrate development and hint at the dramatic changes single-cell genomics is bringing to the field of developmental biology.…”
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    Article
  17. 237

    Interpretable and tractable models of transcriptional noise for the rational design of single-molecule quantification experiments by Gennady Gorin, John J. Vastola, Meichen Fang, Lior Pachter

    Published 2022-12-01
    “…Here the authors explore the distributional differences expected from distinct biophysical models of transcription and show how measurements from single-cell genomics experiments can shed light on the underlying biological processes.…”
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    A practical solution to pseudoreplication bias in single-cell studies by Kip D. Zimmerman, Mark A. Espeland, Carl D. Langefeld

    Published 2021-02-01
    “…Single cell genomics uses cells from the same individual, or pseudoreplicates, that can introduce biases and inflate type I error rates. …”
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    Article