Noise has many roles in biological function, including generation
of errors in DNA replication leading to mutation and evolution, noise-driven
divergence of cell fates, noise-induced amplification of signals,
and maintenance of the quantitative individuality of cells. Yet there
is order to the behaviour and development of cells. They operate
within strict parameters and in many cases this behaviour seems robust,
implying that noise is largely filtered by the system. How can we
explain the use, rejection and sensitivity to noise that is found
in biological systems? An exploration of the sources and consequences
of noise calls for the use of stochastic models.
%0 Journal Article
%1 Rao_2002_231
%A Rao, Christopher V
%A Wolf, Denise M
%A Arkin, Adam P
%D 2002
%J Nature
%K 12432408 Animals, Biochemical, Biological, Cell Feedback, Isomerism, Kinetics, Models, Physiology, Probability, Processes, Stochastic
%N 6912
%P 231--237
%R 10.1038/nature01258
%T Control, exploitation and tolerance of intracellular noise.
%U http://dx.doi.org/10.1038/nature01258
%V 420
%X Noise has many roles in biological function, including generation
of errors in DNA replication leading to mutation and evolution, noise-driven
divergence of cell fates, noise-induced amplification of signals,
and maintenance of the quantitative individuality of cells. Yet there
is order to the behaviour and development of cells. They operate
within strict parameters and in many cases this behaviour seems robust,
implying that noise is largely filtered by the system. How can we
explain the use, rejection and sensitivity to noise that is found
in biological systems? An exploration of the sources and consequences
of noise calls for the use of stochastic models.
@article{Rao_2002_231,
abstract = {Noise has many roles in biological function, including generation
of errors in DNA replication leading to mutation and evolution, noise-driven
divergence of cell fates, noise-induced amplification of signals,
and maintenance of the quantitative individuality of cells. Yet there
is order to the behaviour and development of cells. They operate
within strict parameters and in many cases this behaviour seems robust,
implying that noise is largely filtered by the system. How can we
explain the use, rejection and sensitivity to noise that is found
in biological systems? An exploration of the sources and consequences
of noise calls for the use of stochastic models.},
added-at = {2009-06-03T11:20:58.000+0200},
author = {Rao, Christopher V and Wolf, Denise M and Arkin, Adam P},
biburl = {https://www.bibsonomy.org/bibtex/23975d8ae8465525908db199ae802b999/hake},
description = {The whole bibliography file I use.},
doi = {10.1038/nature01258},
file = {Rao_2002_231.pdf:Rao_2002_231.pdf:PDF},
interhash = {c242d9d8802536c52f27af5b8d32604e},
intrahash = {3975d8ae8465525908db199ae802b999},
journal = {Nature},
keywords = {12432408 Animals, Biochemical, Biological, Cell Feedback, Isomerism, Kinetics, Models, Physiology, Probability, Processes, Stochastic},
month = Nov,
number = 6912,
pages = {231--237},
pii = {nature01258},
pmid = {12432408},
timestamp = {2009-06-03T11:21:26.000+0200},
title = {Control, exploitation and tolerance of intracellular noise.},
url = {http://dx.doi.org/10.1038/nature01258},
volume = 420,
year = 2002
}