Biological mathematics: Difference between revisions
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In the most literal interpretation of the term, <b>biological mathematics</b> refers to biology of a mathematical 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<ref name=Kari/> — 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 mathematics</b> refers to biology of a mathematical 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<ref name=Kari/> — 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 10:58, 4 August 2011
Biological mathematics [r]: The subdiscipline of biology that explores and exploits the use of biological systems to perform mathematical/computational operations and achieve solutions to mathematical/computational problems — in particular, DNA computing. [e]
In the most literal interpretation of the term, biological mathematics refers to biology of a mathematical 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
- ↑ Kari L, Landweber LF. (2000). "Computing with DNA". Methods Mol.Biol. 132: pp. 413-430.
- ↑ Bray D. (2009). Wetware: A Computer in Every Living Cell. Yale University Press. ISBN 9780300141733. Google Books preview.
- ↑ Landweber LF, Kari L. (1999). "The evolution of cellular computing: nature’s solution to a computational problem". Biosystems 52: pp. 3-13.
- ↑ Simeonov PL (2010). "Integral biomathics: A post-Newtonian view into the logos of bios". Progress in Biophysics and Molecular Biology. Proof of article as published online.