Cytoscape

Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape’s software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.


References in zbMATH (referenced in 59 articles )

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  1. Nahálková, Jarmila: The molecular mechanisms associated with PIN7, a protein-protein interaction network of seven pleiotropic proteins (2020)
  2. Dimitrios Michail, Joris Kinable, Barak Naveh, John V Sichi: JGraphT - A Java library for graph data structures and algorithms (2019) arXiv
  3. K. Hunter Wapman; Daniel B. Larremore: webweb: a tool for creating, displaying, and sharinginteractive network visualizations on the web (2019) not zbMATH
  4. Liang, Yulan; Kelemen, Adam; Kelemen, Arpad: Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies (2019)
  5. Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham: ggenealogy: An R Package for Visualizing Genealogical Data (2019) not zbMATH
  6. Pardy, Christopher; Galbraith, Sally; Wilson, Susan R.: Integrative exploration of large high-dimensional datasets (2018)
  7. Teng, Yanbo; Ding, Yanjun; Zhang, Mingming; Chen, Xinren; Wang, Xizi; Yu, Hang; Liu, Chonghui; Lv, Hongchao; Zhang, Ruijie: Genome-wide haplotype association study identifies risk genes for non-small cell lung cancer (2018)
  8. von Stechow, Louise (ed.); Delgado, Alberto Santos (ed.): Computational cell biology. Methods and protocols (2018)
  9. Keith, Jonathan M. (ed.): Bioinformatics. Volume I. Data, sequence analysis, and evolution (2017)
  10. De Niz, Carlos; Rahman, Raziur; Zhao, Xiangyuan; Pal, Ranadip: Algorithms for drug sensitivity prediction (2016)
  11. Fire, Michael; Puzis, Rami: Organization mining using online social networks (2016)
  12. Indhumathy, M.; Arumugam, S.; Baths, Veeky; Singh, Tarkeshwar: Graph theoretic concepts in the study of biological networks (2016)
  13. Liang, Yulan; Kelemen, Arpad: Bayesian state space models for dynamic genetic network construction across multiple tissues (2016)
  14. Alfonso Niño, Camelia Muñoz-Caro, Sebastián Reyes: APINetworks: A general API for the treatment of complex networks in arbitrary computational environments (2015) not zbMATH
  15. Bag, Susmita; Ramaiah, Sudha; Anbarasu, Anand: fabp4 is central to eight obesity associated genes: a functional gene network-based polymorphic study (2015)
  16. Curme, Chester; Stanley, H. Eugene; Vodenska, Irena: Coupled network approach to predictability of financial market returns and news sentiments (2015)
  17. Hinow, Peter; Rietman, Edward A.; Omar, Sara Ibrahim; Tuszyński, Jack A.: Algebraic and topological indices of molecular pathway networks in human cancers (2015)
  18. Suriarachchi, I., Zhou, Q., Plale, B.: Komadu: A Capture and Visualization System for Scientific Data Provenance (2015) not zbMATH
  19. Hu, Guang; Yan, Wenying; Zhou, Jianhong; Shen, Bairong: Residue interaction network analysis of Dronpa and a DNA clamp (2014)
  20. Podder, Avijit; Jatana, Nidhi; Latha, N.: Human dopamine receptors interaction network (DRIN): a systems biology perspective on topology, stability and functionality of the network (2014)

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