IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v264y1999i3p570-580.html
   My bibliography  Save this article

Random aggregation models for the formation and evolution of coding and non-coding DNA

Author

Listed:
  • Provata, A.

Abstract

A random aggregation model with influx is proposed for the formation of the non-coding DNA regions via random co-aggregation and influx of biological macromolecules such as viruses, parasite DNA, and replication segments. The constant mixing (transpositions) and influx drives the system in an out-of-equilibrium steady state characterised by a power law size distribution. The model predicts the long range distributions found in the noncoding eucaryotic DNA and explains the observed correlations. For the formation of coding DNA a random closed aggregation model is proposed which predicts short range coding size distributions. The closed aggregation process drives the system in an almost “frozen” stable state which is robust to external perturbations and which is characterised by well defined space and time scales, as observed in coding sequences.

Suggested Citation

  • Provata, A., 1999. "Random aggregation models for the formation and evolution of coding and non-coding DNA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 264(3), pages 570-580.
    • Handle: RePEc:eee:phsmap:v:264:y:1999:i:3:p:570-580
    DOI: 10.1016/S0378-4371(98)00546-9
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437198005469
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(98)00546-9?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. Katsaloulis, P. & Theoharis, T. & Zheng, W.M. & Hao, B.L. & Bountis, A. & Almirantis, Y. & Provata, A., 2006. "Long-range correlations of RNA polymerase II promoter sequences across organisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 308-322.

    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:eee:phsmap:v:264:y:1999:i:3:p:570-580. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.