IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v69y2009i2p143-157.html
   My bibliography  Save this article

The mathematical structure of the genetic code: a tool for inquiring on the origin of life

Author

Listed:
  • Diego Luis Gonzalez
  • Simone Giannerini
  • Rodolfo Rosa

Abstract

In this paper we present a review and some new thoughts on our work about the mathematical structure of the genetic code. The model proposed is a new theoretical tool that allows a fresh insight on many open problems related to the origin, the evolution and the present structure of the genetic machinery. In particular, we show that such model implies the existence of dichotomic classes, quantities that might play a preeminent role in the management of the genetic information including error control mechanisms. We introduce and use techniques for the analysis of dependent sequences in order to study the correlation structure of series of dichotomic classes derived from protein coding segments of DNA. The results show the existence of a complex context-dependent correlation structure; such dependence gives important information about coding and decoding strategies that nature has implemented along evolutionary times on DNA and RNA sequences.

Suggested Citation

  • Diego Luis Gonzalez & Simone Giannerini & Rodolfo Rosa, 2009. "The mathematical structure of the genetic code: a tool for inquiring on the origin of life," Statistica, Department of Statistics, University of Bologna, vol. 69(2), pages 143-157.
  • Handle: RePEc:bot:rivsta:v:69:y:2009:i:2:p:143-157
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:bot:rivsta:v:69:y:2009:i:2:p:143-157. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Giovanna Galatà). General contact details of provider: http://edirc.repec.org/data/dsbolit.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.