IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v387y1997i6632d10.1038_387s067.html
   My bibliography  Save this article

Genetic and physical maps of Saccharomyces cerevisiae

Author

Listed:
  • J. Michael Cherry

    (Stanford University School of Medicine)

  • Catherine Ball

    (Stanford University School of Medicine)

  • Shuai Weng

    (Stanford University School of Medicine)

  • Gail Juvik

    (Stanford University School of Medicine)

  • Rita Schmidt

    (Stanford University School of Medicine)

  • Caroline Adler

    (Stanford University School of Medicine)

  • Barbara Dunn

    (Stanford University School of Medicine)

  • Selina Dwight

    (Stanford University School of Medicine)

  • Linda Riles

    (Washington University Medical School)

  • Robert K. Mortimer

    (University of California)

  • David Botstein

    (Stanford University School of Medicine)

Abstract

Genetic and physical maps for the 16 chromosomes of Saccharomyces cerevisiae are presented. The genetic map is the result of 40 years of genetic analysis. The physical map was produced from the results of an international systematic sequencing effort. The data for the maps are accessible electronically from the Saccharomyces Genome Database (SGD: http://genome-www.stanford.edu/Saccharomyces/).

Suggested Citation

  • J. Michael Cherry & Catherine Ball & Shuai Weng & Gail Juvik & Rita Schmidt & Caroline Adler & Barbara Dunn & Selina Dwight & Linda Riles & Robert K. Mortimer & David Botstein, 1997. "Genetic and physical maps of Saccharomyces cerevisiae," Nature, Nature, vol. 387(6632), pages 67-73, May.
    • Handle: RePEc:nat:nature:v:387:y:1997:i:6632:d:10.1038_387s067
    DOI: 10.1038/387s067
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/387s067
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/387s067?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. Svitlana Tyekucheva & Francesca Chiaromonte, 2008. "Augmenting the bootstrap to analyze high dimensional genomic data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(1), pages 1-18, May.

    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:387:y:1997:i:6632:d:10.1038_387s067. 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.