Biological computation: Difference between revisions

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In the most literal interpretation of the term, <b>biological computation</b> refers to biology of a computational nature &mdash; in particular, biological systems  that imbed mathematical operations &mdash; hence, its application to the emerging subdiscipline of biology that explores and exploits the use of biological systems to perform mathematical/computational operations and achieve solutions to mathematical/computational problems &mdash; for example, computing with DNA molecules<ref name=Kari/> &mdash; and that studies the natural occurrence of computational processes in biological and living systems.<ref name=Bray/><ref name=Landweber/><ref name=Simeonov/>
In the most literal interpretation of the term, <b>biological computation</b> refers to computation of a biological nature &mdash; in particular, biological systems  that imbed mathematical operations &mdash; hence, its application to the emerging subdiscipline of biology that explores and exploits the use of biological systems to perform mathematical/computational operations and achieve solutions to mathematical/computational problems &mdash; for example, computing with DNA molecules<ref name=Kari/> &mdash; and that studies the natural occurrence of computational processes in biological and living systems.<ref name=Bray/><ref name=Landweber/><ref name=Simeonov/>


== References ==
== References ==

Revision as of 13:18, 4 August 2011

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In the most literal interpretation of the term, biological computation refers to computation of a biological nature — in particular, biological systems that imbed mathematical operations — hence, its application to the emerging subdiscipline of biology that explores and exploits the use of biological systems to perform mathematical/computational operations and achieve solutions to mathematical/computational problems — for example, computing with DNA molecules[1] — and that studies the natural occurrence of computational processes in biological and living systems.[2][3][4]

References

  1. Kari L, Landweber LF. (2000). "Computing with DNA". Methods in Molecular Biology: Bioinformatics methods and protocols 132: pp. 413-430.
  2. Bray D. (2009). Wetware: A Computer in Every Living Cell. Yale University Press. ISBN 9780300141733.  Google Books preview.
  3. Landweber LF, Kari L. (1999). "The evolution of cellular computing: nature’s solution to a computational problem". Biosystems 52: pp. 3-13.
  4. Simeonov PL (2010). "Integral biomathics: A post-Newtonian view into the logos of bios". Progress in Biophysics and Molecular Biology: pp. 85-121. DOI:10.1016/j.pbiomolbio.2010.01.005. Research Blogging. Proof of article as published online.