Integration of biological networks and gene expression data using Cytoscape
By Melissa S. Cline, Michael E. Smoot, Ethan G. Cerami, Allan Kuchinsky, Nerius Landys, Chris Workman, R. Christmas, Iliana Avila-Campilo, Michael L. Creech, Benjamin E. Gross and 22 more. Nature Protocols, 2007
2,523 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/0d811afe55b939c9672e164f37957e9364434c84
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In Molecular Biology
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- Ivica Letunic
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Citations in the corpus
- Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data (2018, background): “The Cytoscape software 2,3 , on the other hand, is designed to analyze and visualize very large networks and provides much greater flexibility in terms of import of additional data and visualization of these onto networks.”
- The BioMart community portal: an innovative alternative to large, centralized data repositories (2015, background): “It also supports many third party packages such as Taverna (2), Galaxy (3), Cytoscape (4) and biomaRt (5), which part of the Bioconductor (6) library.”
- The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored (2010, methodology): “Cytoscape is a widely used open-source software framework for network visualization and manipulation (54,55); it can be very flexibly extended, with a rapidly growing number of network-centered manipulation and analysis tools.”
- Network-based prediction of human tissue-specific metabolism (2008, methodology): “il/~shlomito/tissue-net ) and can be explored interactively using the freely available Cytoscape softwar”
- Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism (2013, positive): “The Period 3–5 and Period 4–6 PFC-MSC Networks (A and B) The period 3–5 (A) and period 4–6 (B) coexpression networks are displayed with the force-directed layout function of Cytoscape using correlation as the edge weight (Cline et al., 2007).”
- GPCR-I-TASSER: A hybrid approach to G protein-coupled receptor structure modeling and the application to the human genome (2015, methodology): “Sequence and Structure Networks of Human GPCRs Given the sequence and structural models generated, we pre-sent in Figure 8 a 2D view of the sequence and structure distributions of all 1,026 GPCRs in human prepared using Cytoscape 2.8 (Cline et al., 2007).”
- PID: the Pathway Interaction Database (2008, neutral): “Using the BioPAX export, a user can also visualize PID pathways in Cytoscape (http://cytoscape.org) a popular third-party network visualization tool (9).”
- More Is Better: Recent Progress in Multi-Omics Data Integration Methods (2017, positive): “Through random sampling approach and iterative calculations, jActiveModules determines the highest-scoring sub-network circuits in a full network of molecular interactions, leading to further biologically interesting discoveries (Cline et al., 2007).”
- Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation (2014, methodology): “Networks were visualized in a force-directed layout in Cytoscape, followed with statistical analysis utilizing the plug-in Network Analysis (Cline et al., 2007).”
- The BioGRID Interaction Database: 2011 update (2010, methodology): “BioGRID interaction data can also be accessed automatically through biological network visualization applications that include Osprey (26), Cytoscape (27), GeneMania (28) and ProHits (29).”
- Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation (2010, methodology): “Tools such as Onto-Express [25], the Cytoscape [26] plugin BiNGO [27] and WebGestalt [28] display the hierarchical structure of enriched GO terms.”
- iMAT: an integrative metabolic analysis tool (2010, neutral): “…the corresponding enzyme-coding gene, the corresponding gene is considered to be post-transcriptionally up- or downregulated. iMAT provides as output the predicted flux activity state and the corresponding confidence values over all network reactions in both tabular and network visualization forms.”