Nurse, Paul and Goldstein, Joseph L. and Brown, Michael S. and Greider, Carol and Baltimore, David (2014) Emerging Themes in Biology: Hints for the Future. Cell, 157 (1). pp. 272-273. ISSN 0092-8674. https://resolver.caltech.edu/CaltechAUTHORS:20140515-081047373
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Abstract
For future understanding of biology, we have to get to grips with complexity. Most biological processes are based on complex networks involving many components. Because they have been generated by natural selection, redundancies and add-on functions abound, and some parts may only be relevant in specific circumstances. Occam’s razor rarely applies. So how can sense be made of this complexity?
| Item Type: | Article | |||||||||
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| Additional Information: | © 2014 Elsevier Inc. | |||||||||
| Issue or Number: | 1 | |||||||||
| Record Number: | CaltechAUTHORS:20140515-081047373 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20140515-081047373 | |||||||||
| Official Citation: | Emerging Themes in Biology: Hints for the Future, Cell, Volume 157, Issue 1, 27 March 2014, Pages 272-273, ISSN 0092-8674, http://dx.doi.org/10.1016/j.cell.2014.03.013. (http://www.sciencedirect.com/science/article/pii/S009286741400347X) | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 45755 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Tony Diaz | |||||||||
| Deposited On: | 15 May 2014 16:05 | |||||||||
| Last Modified: | 03 Oct 2019 06:35 |
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