Abstract
We describe a simple computational approach that can be used for the study and simulation of regulatory networks. The advantage of this approach is that it requires neither computational background nor exact quantitative data about the biological system under study. Moreover, it is suitable for examining alternative hypotheses about the structure of a biological network. We used a tool called BioNSi (Biological Network Simulator) that is based on a simple computational model, which can be easily integrated as part of the lab routine, in parallel to experimental work. One benefit of this approach is that it enables the identification of regulatory proteins, which are missing from the experimental work. We describe the general methodology for modeling a network’s dynamics in the tool, and then give a point by point example for a specific known network, entry into meiosis in budding yeast.
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Rubinstein, A., Kassir, Y. (2017). A Computational Approach to Study Gene Expression Networks. In: Stuart, D. (eds) Meiosis. Methods in Molecular Biology, vol 1471. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6340-9_19
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DOI: https://doi.org/10.1007/978-1-4939-6340-9_19
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Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-6338-6
Online ISBN: 978-1-4939-6340-9
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