Biology
is overwhelmed with data. The various genome projects are generating, with increasing
ease, vast gigabases of DNA sequence, which have stimulated the development of
high-throughput assays to provide comprehensive post-genomic analysis.
To
meet these challenges, biologists are co-opting mathematical techniques, developed
to address seemingly unconnected problems in disparate fields such as economics,
engineering and sociology to attach meaning to the output of their experiments.
In turn, mathematicians versed in applying these techniques bring novel ways at
examining the processes of life.
In this web focus, we present
a specially commissioned Nature Insight on Computational Biology: a diverse
set of reviews giving an overview of the areas of molecular cell biology that
are embracing the application of mathematical theory to advance discovery. To
accompany this Insight, we have selected a collection articles and features about
computational biology, handpicked from the Nature archives. All content
is available free until December 15th.
Computational Biology
Insight A collection of reviews showing how sophisticated
mathematical concepts can illuminate the principles underlying biology at a genetic,
molecular, cellular and even organismal level.
Physics meets biology: Bridging the culture gap JONATHAN KNIGHT Molecular biologists are deluged with
data, and physicists, used to reducing complex systems to basic principles, might
help to make sense of it all. But bringing the two disciplines together isn't
easy, says Jonathan Knight. Nature419, 244246 (2002);
doi:10.1038/419244a | Full
Text (HTML / PDF) |
Are you ready for the revolution? DECLAN
BUTLER If biologists do not adapt to the powerful computational tools needed
to exploit huge data sets, says Declan Butler, they could find themselves floundering
in the wake of advances in genomics. Nature409, 758760
(2001); doi:10.1038/35057400 | Full
Text (HTML / PDF) |
For my next trick. . . PAUL
SMAGLIK Nature407, 828829 (2000); doi:10.1038/35038242
| Full Text (HTML /
PDF) |
Magical
numbers in nature Mathematician Ian Stewart talks
to Nature Science Update about snowflakes, sticklebacks and a new kind of science.
Computational biology: Beyond the spherical cow JOHN DOYLE Computational and mathematical models are helping
biologists to understand the beating of a heart, the molecular dances underlying
the cell-division cycle and cell movement, and much more. Nature411,
151152 (2001); doi:10.1038/35075703 | Full
Text (HTML / PDF) |
Post-genomic cultures Like it or not, big biology is here to stay. Nature409,
545 (2001); doi:10.1038/35054677 | Full
Text (HTML / PDF) |
Systems biology's multiple maths Modelling cellular systems will be a key element of post-genomics science. Nature407, 819 (2000); doi:10.1038/35038207 | Full
Text (HTML / PDF) |
The
large-scale organization of metabolic networks H.
JEONG, B. TOMBOR, R. ALBERT, Z. N. OLTVAI & A.-L. BARAB�SI Nature407, 651654 (2000); doi:10.1038/35036627 | First
Paragraph | Full
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The segment polarity network is a robust developmental
module GEORGE VON DASSOW, ELI MEIR, EDWIN M. MUNRO
& GARRETT M. ODELL Nature406, 188192 (2000); doi:10.1038/35018085
| First Paragraph
| Full Text (HTML /
PDF) |
Robustness in bacterial chemotaxis U.
ALON, M. G. SURETTE, N. BARKAI & S. LEIBLER Nature397,
168171 (1999); doi:10.1038/16483 | First
Paragraph | Full Text
(HTML / PDF) |
Robustness in simple biochemical networks N. BARKAI, S. LEIBLER Nature387, 913917
(1999); doi:10.1038/16483 | First
Paragraph | Full Text
(HTML / PDF) |
Synchronization
and rhythmic processes in physiology LEON GLASS Nature410, 277284 (2001); doi:10.1038/35065745 | Summary
| Full Text (HTML /
PDF) |
Exploring complex networks STEVEN
H. STROGATZ Nature410, 268276 (2001); doi:10.1038/35065725
| Summary | Full
Text (HTML / PDF) |