The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Biological Network Exploration with Cytoscape 3
Open accessAbstract
Cytoscape is one of the most popular open‐source software tools for the visual exploration of biomedical networks composed of protein, gene, and other types of interactions. It offers researchers a versatile and interactive visualization interface for exploring complex biological interconnections supported by diverse annotation and experimental data, thereby facilitating research tasks such as predicting gene function and constructing pathways. Cytoscape provides core functionality to load, visualize, search, filter, and save networks, and hundreds of Apps extend this functionality to address specific research needs. The latest generation of Cytoscape (version 3.0 and later) has substantial improvements in function, user interface, and performance relative to previous versions. This protocol aims to jump‐start new users with specific protocols for basic Cytoscape functions, such as installing Cytoscape and Cytoscape Apps, loading data, visualizing and navigating the networks, visualizing network associated data (attributes), and identifying clusters. It also highlights new features that benefit experienced users. Curr. Protoc. Bioinform. 47:8.13.1‐8.13.24. © 2014 by John Wiley & Sons, Inc.
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Cytoscape: A software Environment for integrated models of biomolecular interaction networks
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Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes
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Self-citationA gene ontology inferred from molecular networks
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Oughtred, R., Rust, J., Chang, C., Breitkreutz, B., Stark, C., Willems, A., Boucher, L., Leung, G., Kolas, N., Zhang, F., et al. (2021) · Protein Science · doi:10.1002/pro.3978 · Cited by 1,858
Applications of multi‐omics analysis in human diseases
Chen, C., Wang, J., Pan, D., Wang, X., Xu, Y., Yan, J., Wang, L., Yang, X., Yang, M., & Liu, G. (2023) · MedComm · doi:10.1002/mco2.315 · Cited by 545
Halappanavar, S., van den Brule, S., Nymark, P., Gaté, L., Seidel, C., Valentino, S., Zhernovkov, V., Høgh Danielsen, P., De Vizcaya, A., Wolff, H., et al. (2020) · Particle and Fibre Toxicology · doi:10.1186/s12989-020-00344-4 · Cited by 246
SCAF4 and SCAF8, mRNA Anti-Terminator Proteins
Gregersen, L. H., Mitter, R., Ugalde, A. P., Nojima, T., Proudfoot, N. J., Agami, R., Stewart, A., & Svejstrup, J. Q. (2019) · Cell · doi:10.1016/j.cell.2019.04.038 · Cited by 140
High-resolution metabolomics of occupational exposure to trichloroethylene
Walker, D. I., Uppal, K., Zhang, L., Vermeulen, R., Smith, M., Hu, W., Purdue, M. P., Tang, X., Reiss, B., Kim, S., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw218 · Cited by 107
Metadata
- Authors
- Su, G., Morris, J. H., Demchak, B., & Bader, G. D.
- Venue
- Current Protocols in Bioinformatics
- Publisher
- Wiley
- Published
- 2014-09
- Volume
- 47
- Issue
- 1
- Pages
- 8.13.1-24
- ISSN
- 1934-3396 (ISSN-L)
- 1934-340X
- OpenAlex
- W2138793275
- Cited by
- 1,031
- References
- 8
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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