IDEAS home Printed from https://ideas.repec.org/a/plo/pbio00/3001077.html
   My bibliography  Save this article

Cell-level metadata are indispensable for documenting single-cell sequencing datasets

Author

Listed:
  • Sidhant Puntambekar
  • Jay R Hesselberth
  • Kent A Riemondy
  • Rui Fu

Abstract

Single-cell RNA sequencing (scRNA-seq) provides an unprecedented view of cellular diversity of biological systems. However, across the thousands of publications and datasets generated using this technology, we estimate that only a minority (

Suggested Citation

  • Sidhant Puntambekar & Jay R Hesselberth & Kent A Riemondy & Rui Fu, 2021. "Cell-level metadata are indispensable for documenting single-cell sequencing datasets," PLOS Biology, Public Library of Science, vol. 19(5), pages 1-10, May.
    • Handle: RePEc:plo:pbio00:3001077
    DOI: 10.1371/journal.pbio.3001077
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001077
    Download Restriction: no
    File URL: https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3001077&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pbio.3001077?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhi-Jie Cao & Lin Wei & Shen Lu & De-Chang Yang & Ge Gao, 2020. "Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joyce B. Kang & Aparna Nathan & Kathryn Weinand & Fan Zhang & Nghia Millard & Laurie Rumker & D. Branch Moody & Ilya Korsunsky & Soumya Raychaudhuri, 2021. "Efficient and precise single-cell reference atlas mapping with Symphony," Nature Communications, Nature, vol. 12(1), pages 1-21, December.
    2. Jiawei Chen & Hao Xu & Wanyu Tao & Zhaoxiong Chen & Yuxuan Zhao & Jing-Dong J. Han, 2023. "Transformer for one stop interpretable cell type annotation," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:3001077. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.