| Chapter title |
VANTED: A Tool for Integrative Visualization and Analysis of -Omics Data
|
|---|---|
| Chapter number | 18 |
| Book title |
Plant Membrane Proteomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7411-5_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7409-2, 978-1-4939-7411-5
|
| Authors |
Anja Hartmann, Anna Maria Jozefowicz |
| Abstract |
The investigation of biological systems from different perspectives leads, due to novel -omics technologies, to large-scale, heterogeneous, and complex datasets. To elucidate molecular programs that control biological systems growth and development the integration and analysis of these -omics data remains challenging. Network-integrated visualizations based on graphical standards support intuitive exploration and interpretation of -omics data within the functional context. This integrated vision of the biological system to be studied tries to extract all hidden information for deepening our understanding and reveals new biological insights.The method described here gives detailed instructions on the generation of such an integrative visualization of -omics data in the context of networks presented in the Systems Biology Graphical Notation (SBGN) using VANTED; a software tool for systems biology applications. An example illustrates the application of the method for metabolomics and proteomics data integration and analysis using a primary metabolic pathway, for the model crop potato. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Australia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 29% |
| Researcher | 4 | 19% |
| Student > Ph. D. Student | 4 | 19% |
| Professor | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 24% |
| Agricultural and Biological Sciences | 5 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |