IDEAS home Printed from https://ideas.repec.org/a/bpj/sagmbi/v11y2012i4n10.html
   My bibliography  Save this article

Estimating the Number of One-step Beneficial Mutations

Author

Listed:
  • Wojtowicz Andrzej J.

    (University of Idaho)

  • Miller Craig R.

    (University of Idaho)

  • Joyce Paul

    (University of Idaho)

Abstract

Mutations that confer a selective advantage to an organism are the raw material upon which natural selection acts. The number of such mutations that are available is a central quantity of interest for understanding the tempo and trajectory of adaptive evolution. While this quantity is typically unknown, it can be estimated with varying levels of accuracy based on data obtained experimentally. We propose a method for estimating the number of beneficial mutations that accounts for the evolutionary forces that generate the data. Our model-based parametric approach is compared to an adjusted nonparametric abundance-based coverage estimator. We show that, in general, our estimator performs better. When the number of mutations is small, however, the performances of the two estimators are similar.

Suggested Citation

  • Wojtowicz Andrzej J. & Miller Craig R. & Joyce Paul, 2012. "Estimating the Number of One-step Beneficial Mutations," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-28, July.
    • Handle: RePEc:bpj:sagmbi:v:11:y:2012:i:4:n:10
    DOI: 10.1515/1544-6115.1788
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/1544-6115.1788
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/1544-6115.1788?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.

    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:bpj:sagmbi:v:11:y:2012:i:4:n:10. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.