Computational methods for stochastic biological systems

Computational methods for stochastic biological systems

The virtual completion of the genome project and prodigious amounts of work by different biologists throughout the world have elucidated many of the components of biological systems. The genes (and hence proteins) are largely known, and the tools of molecular biology allows one to manufacture and e...

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Bibliographic Details
Main Author: Gibson, Michael Andrew
Format: Others
Published: 2000
Online Access:https://thesis.library.caltech.edu/1778/1/Gibson_ma_2000.pdf
Gibson, Michael Andrew (2000) Computational methods for stochastic biological systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/G4X0-D149. https://resolver.caltech.edu/CaltechETD:etd-05132005-154222 <https://resolver.caltech.edu/CaltechETD:etd-05132005-154222>

Internet

https://thesis.library.caltech.edu/1778/1/Gibson_ma_2000.pdf
Gibson, Michael Andrew (2000) Computational methods for stochastic biological systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/G4X0-D149. https://resolver.caltech.edu/CaltechETD:etd-05132005-154222 <https://resolver.caltech.edu/CaltechETD:etd-05132005-154222>

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