| Chapter title |
A Computational Approach to Study Gene Expression Networks
|
|---|---|
| Chapter number | 19 |
| Book title |
Meiosis
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6340-9_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6338-6, 978-1-4939-6340-9
|
| Authors |
Rubinstein, Amir, Kassir, Yona, Amir Rubinstein, Yona Kassir |
| 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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|---|---|---|
| Japan | 1 | 33% |
| France | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Lecturer > Senior Lecturer | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 200% |