skip to main content
10.1145/2422436.2422445acmconferencesArticle/Chapter ViewAbstractPublication PagesitcsConference Proceedingsconference-collections
abstract

Making evolution rigorous: the error threshold

Published:09 January 2013Publication History

ABSTRACT

No abstract available.

References

  1. Narendra Dixit, Piyush Srivastava, and Nisheeth K. Vishnoi. A finite population model of molecular evolution: Theory and computation. Journal of Computational Biology, 19(10):1176-1202, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  2. M. Eigen. Selforganization of matter and the evolution of biological macromolecules. Die Naturwissenschaften, 58:456-523, 1971.Google ScholarGoogle ScholarCross RefCross Ref
  3. M. Eigen. The origin of genetic information: Viruses as models. 135:37-47, 1993.Google ScholarGoogle Scholar
  4. M. Eigen, J. McCaskill, and P. Schuster. Molecular quasi-species. J. Phys. Chem., 92:6881-6891, 1988.Google ScholarGoogle ScholarCross RefCross Ref
  5. Kushal Tripathi, Rajesh Balagam, Nisheeth K. Vishnoi, and Narendra M. Dixit. Stochastic simulations suggest that HIV-1 survives close to its error threshold. PLoS Computational Biology, 8(9):e1002684, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  6. Nisheeth K. Vishnoi. Evolution without sex, drugs and Boolean functions. http://research.microsoft.com/enus/ um/people/nvishno.Google ScholarGoogle Scholar
  7. Claus Wilke. Quasispecies theory in the context of population genetics. BMC Evolutionary Biology, 5(1):44, 2005.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Making evolution rigorous: the error threshold

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      ITCS '13: Proceedings of the 4th conference on Innovations in Theoretical Computer Science
      January 2013
      594 pages
      ISBN:9781450318594
      DOI:10.1145/2422436

      Copyright © 2013 Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 9 January 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      Overall Acceptance Rate172of513submissions,34%
    • Article Metrics

      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader