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Mendeley readers
Chapter title |
Modeling Excitable Dynamics of Chemotactic Networks
|
---|---|
Chapter number | 27 |
Book title |
Chemotaxis
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Published in |
Methods in molecular biology, January 2016
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DOI | 10.1007/978-1-4939-3480-5_27 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3478-2, 978-1-4939-3480-5
|
Authors |
Sayak Bhattacharya, Pablo A. Iglesias, Bhattacharya, Sayak, Iglesias, Pablo A. |
Abstract |
The study of chemotaxis has benefited greatly from computational models that describe the response of cells to chemoattractant stimuli. These models must keep track of spatially and temporally varying distributions of numerous intracellular species. Moreover, recent evidence suggests that these are not deterministic interactions, but also include the effect of stochastic variations that trigger an excitable network. In this chapter we illustrate how to create simulations of excitable networks using the Virtual Cell modeling environment. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 14% |
Professor > Associate Professor | 2 | 14% |
Unknown | 10 | 71% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 14% |
Immunology and Microbiology | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Unknown | 10 | 71% |