Meta-Stochastic Simulation of Biochemical Models for Systems and Synthetic Biology-Reference-Cited by-同舟云学术

Meta-Stochastic Simulation of Biochemical Models for Systems and Synthetic Biology

Published:2014-10-07 Issue:1 Volume:4 Page:39-47
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Sanassy Daven¹,Widera Paweł¹,Krasnogor Natalio¹

Affiliation:

1. Interdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing Science, Newcastle University, Newcastle upon Tyne, Tyne and Wear, NE1 7RU, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/sb5001406

Reference32 articles.

1. The Infobiotics Workbench: an integrated in silico modelling platform for Systems and Synthetic Biology

2. Stochastic and deterministic multiscale models for systems biology: an auxin-transport case study

3. Evolving cell models for systems and synthetic biology

4. MODULAR ASSEMBLY OF CELL SYSTEMS BIOLOGY MODELS USINGPSYSTEMS

5. A general method for numerically simulating the stochastic time evolution of coupled chemical reactions

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