IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v405y2000i6788d10.1038_35015701.html
   My bibliography  Save this article

Genomics, gene expression and DNA arrays

Author

Listed:
  • David J. Lockhart

    (Genomics Institute of the Novartis Research Foundation)

  • Elizabeth A. Winzeler

    (Genomics Institute of the Novartis Research Foundation)

Abstract

Experimental genomics in combination with the growing body of sequence information promise to revolutionize the way cells and cellular processes are studied. Information on genomic sequence can be used experimentally with high-density DNA arrays that allow complex mixtures of RNA and DNA to be interrogated in a parallel and quantitative fashion. DNA arrays can be used for many different purposes, most prominently to measure levels of gene expression (messenger RNA abundance) for tens of thousands of genes simultaneously. Measurements of gene expression and other applications of arrays embody much of what is implied by the term ‘genomics’; they are broad in scope, large in scale, and take advantage of all available sequence information for experimental design and data interpretation in pursuit of biological understanding.

Suggested Citation

  • David J. Lockhart & Elizabeth A. Winzeler, 2000. "Genomics, gene expression and DNA arrays," Nature, Nature, vol. 405(6788), pages 827-836, June.
  • Handle: RePEc:nat:nature:v:405:y:2000:i:6788:d:10.1038_35015701
    DOI: 10.1038/35015701
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/35015701
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/35015701?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andreas Wagner, 2001. "Estimating Coarse Gene Network Structure from Large-Scale Gene Perturbation Data," Working Papers 01-09-051, Santa Fe Institute.
    2. Jens Keilwagen & Jan Grau & Ivan A Paponov & Stefan Posch & Marc Strickert & Ivo Grosse, 2011. "De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference," PLOS Computational Biology, Public Library of Science, vol. 7(2), pages 1-13, February.
    3. Kai Deng & Xin Zhang, 2022. "Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction," Biometrics, The International Biometric Society, vol. 78(3), pages 1067-1079, September.

    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:nat:nature:v:405:y:2000:i:6788:d:10.1038_35015701. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.