Insights into biological complexity from simple foundations

L. Albergante, D. Liu, S. Palmer, T. J. Newman (Lead / Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

3 Citations (Scopus)

Abstract

We discuss an overtly "simple approach" to complex biological systems borrowing selectively from theoretical physics. The approach is framed by three maxims, and we show examples of its success in two different applications: investigating cellular robustness at the level of gene regulatory networks and quantifying rare events of DNA replication errors.

Original languageEnglish
Title of host publicationBiophysics of infection
EditorsMark C. Leake
Place of PublicationSwitzerland
PublisherSpringer International Publishing
Pages295-305
Number of pages11
ISBN (Electronic)9783319321899
ISBN (Print)9783319321875
DOIs
Publication statusPublished - 19 May 2016

Publication series

NameAdvances in experimental medicine and biology
PublisherSpringer International Publishing
Volume915
ISSN (Print)0065-2598

Keywords

  • Simplicity
  • Theoretical physics
  • Probability theory
  • Gene regulatory networks
  • DNA replication
  • Big data

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  • Cite this

    Albergante, L., Liu, D., Palmer, S., & Newman, T. J. (2016). Insights into biological complexity from simple foundations. In M. C. Leake (Ed.), Biophysics of infection (pp. 295-305). (Advances in experimental medicine and biology; Vol. 915). Springer International Publishing. https://doi.org/10.1007/978-3-319-32189-9_18