Download as PDF, PPTX
Uploaded byKeiichiro Ono
Workshop: Introduction to Cytoscape at UT-KBRIN Bioinformatics Summit 2014 (4/11/2014)
This document summarizes a presentation given by Keiichiro Ono on the open source software platform Cytoscape. Ono introduced Cytoscape as a tool for biological network analysis and visualization. He discussed how it can integrate network and attribute data, perform network analysis functions like filtering and calculating statistics, and visualize networks through customizable layouts and visual styles. Ono also highlighted Cytoscape's ecosystem of apps that extend its functionality and its use of open standards to import a variety of network and attribute data formats.
In this document
Powered by AI
Introduction by Keiichiro Ono, Cytoscape core developer; discusses his role, experience, and the significance of Cytoscape in biological network analysis.
Presents the agenda: what Cytoscape is, its data integration, analysis, visualization capabilities, ecosystem, and future plans.
Defines Cytoscape as an open-source platform for biological network analysis; emphasizes its community development and extensibility.
Analyzes network data through various methods (desktop and web tools) and libraries like Graph Analysis and visualization comparisons.
Defines networks in biology using nodes and edges, detailing various biological interactions including protein-protein and biochemical reactions. Illustrates undirected and directed networks with examples including KEGG pathways, showing how Cytoscape visualizes complex biological relationships.
Explains the need for tools to extract biological modules and use various data interaction databases for analysis.
Clarifies limitations of Cytoscape while focusing on large-scale network analysis and visualization using BioGRID data.
Describes the basic workflow for biological analysis with Cytoscape including data integration, analysis, and visualization.
Details on network data formats and sources; emphasizes compatibility and various types of data inputs that Cytoscape supports.
Discusses data selection, filtering techniques, and visualization strategies to enhance understanding of complex network data.
Focuses on effective data visualization principles using shapes, colors, and sizes to improve communication of network data.
Explores the mapping of visual styles and layouts to represent network data effectively in Cytoscape.
Introduces Cytoscape apps as extension programs that enhance functionalities and the importance of community involvement.
Discusses the Cytoscape family, highlighting differences between versions and compatibility issues with applications.
Describes Cytoscape.js as a network visualization library, emphasizing its coding requirements and new features for web integration.
Outlines future plans including integration with external tools and addressing scalability issues for large data analysis.
Promotes collaboration with the National Resources for Network Biology and resources available for Cytoscape users.
Concludes with questions, feedback gathering, and contact details for further inquiries about Cytoscape.
More Related Content
Similar to Workshop: Introduction to Cytoscape at UT-KBRIN Bioinformatics Summit 2014 (4/11/2014)
Workshop: Introduction to Cytoscape at UT-KBRIN Bioinformatics Summit 2014 (4/11/2014)
- 1. Keiichiro Ono UC, SanDiego Trey Ideker Lab Bioinformatics Summit 2014 4/11/2014 Cytoscape An Open Source Platform for Biological Network Analysis and Visualization
- 2. - Thanks for Attending! -Keiichiro Ono - Cytoscape Core Developer since 2005 - Core module design & implementation - Area of Interest: Data Integration & Visualization - University of California, San Diego Trey Ideker Lab
- 3.
- 4. Agenda - What isCytoscape? - Data Integration, Analysis, and Visualization with Cytoscape - Cytoscape Ecosystem - Cytoscape Future Plan
- 5.
- 6. An Open SourcePlatform for Biological Network Data Integration, Analysis and Visualization Cytoscape
- 7. Cytoscape - Open Source(LGPL) - Free for both commercial and academic use - Developed and maintained by universities, companies, and research institutions - De-facto standard software in biological network research community - Expandable by Apps - This is why Cytoscape is a Platform, not a simple desktop application
- 9.
- 10.
- 11.
- 12. Network Data Analysis Analysis GraphAnalysis NetworkX igraph Cytoscape Python Pandas NumPy SciPy Excel Visualization Desktop Gephi Cytoscape matplotlib Web Cytoscape.js sigma.js d3 NDV3 d3.chart Google Charts Data Storage Graph Neo4j GraphX Document MongoDB Relational MySQL IPython 3rd Party Apps NetworkAnalyzer
- 13.
- 14. Network = Nodes+ Edges
- 15. Nodes and Edgesin Biology - Protein - Protein - Protein - DNA - Genetic (Epistasis) - Synthetic lethality - Biochemical Reactions - Compound - Enzyme - Compound Cartoon representation of a complex between DNA and the protein p53 Node Node Edge
- 16.
- 17.
- 18. Directed Network KEGG Pathway(TCA Cycle) visualized by Cytoscape KGMLReader
- 19. Human-Curated Pathways KEGG PathwayVisualized by Cytoscape
- 20. KEGG Global Map Visualizedby Cytoscape
- 21. The Challenge inNetwork Biology
- 22. C. Elegans Interactomefrom BioGRID Database ?
- 23. Biological Networks - Tellus anything by themselves - Just a big hairball…
- 24.
- 25.
- 26. Module 1 Need atool to extract meaningful biological modules
- 27.
- 28.
- 29.
- 30.
- 33. is NOT a... -Cytoscape is a powerful tool, but cannot do everything - Simulator - Fully-featured Pathway diagram editor - Statistical network analysis tool suite - Still, you can implement these as Apps though
- 34.
- 35. Large-Scale Network Analysisand Visualization Human Interactome data from BioGRID visualized by Cytoscape
- 36. Agenda - What isCytoscape? - Data Integration, Analysis, and Visualization with Cytoscape - Cytoscape Ecosystem - Cytoscape Future Plan
- 37. Introduction to Biological Network Analysiswith Cytoscape
- 38. 1. Data Integration (LoadNetworks and Tables) 2. Data Analysis 3. Visualization Basic Workflow 4. Prepare for Publication
- 39.
- 40. Cline, et al.“Integration of biological networks and gene expression data using Cytoscape”, Nature Protocols, 2, 2366-2382 (2007). Protocol Paper
- 41. <?xml version="1.0" encoding="UTF-8"?> <graphmlxmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd"> <!-- Created by igraph --> <key id="degree" for="node" attr.name="degree" attr.type="double"/> <key id="betweenness" for="node" attr.name="betweenness" attr.type="double"/> <graph id="G" edgedefault="directed"> <node id="n0"> <data key="degree">79</data> <data key="betweenness">0</data> </node> <node id="n1"> <data key="degree">9</data> <data key="betweenness">167</data> </node> <node id="n2"> <data key="degree">18</data> <data key="betweenness">75</data> </node> <node id="n3"> <data key="degree">8</data> <data key="betweenness">12</data> </node> <node id="n4"> <data key="degree">26</data> <data key="betweenness">210</data> </node> <node id="n5"> <data key="degree">29</data> <data key="betweenness">320</data> </node> Import Networks
- 42. Network Data Formats -SIF - GML - XGMML - GraphML - BioPAX - PSI-MI - SBML - KGML (KEGG) - Excel - Text Table - CSV - Tab
- 43. Network Data Source -From your own experiment - Public database - Search known interactions by list of genes
- 44.
- 45. Which Database? - Protein- Protein - STRING - IntAct - Genetic - BioGRID - Protein - Compound - ChEMBL
- 46. Which Database? - Human-CuratedPathways - KEGG - Reactome - WikiPathways - PathwayCommons
- 49.
- 50. NCBI Gene ID672 On Chromosome 17 GO Terms DNA Repair Cell Cycle DNA Binding Ensemble ID ENSG00000012048 BRCA1
- 51. Data Tables forCytoscape - Example: - Numeric - Gene expression profiles - Network statistics calculated in other applications, such as R - Confidence scores for edges - Text (or categorical) - GO annotation for genes - List of genes related to disease X - Targets for FDA approved drugs - Genes on KEGG Pathway Y - Clusters / group / community calculated in external programs - …
- 52. Your Data Sets -Anything saved as a table can be loaded into Cytoscape - Excel - Tab Delimited Document - CSV - As long as proper mapping key is available, Cytoscape can map them to your networks.
- 53. Mapping Key in theNetwork Mapping Key in the Table
- 56.
- 57.
- 58. Network Analysis - Filtering -Calculate network statistics by Network Analyzer - Degree distribution,centrality, etc. - Advanced analysis by Apps
- 59. Filtering (Selection) - Simple,but powerful feature to extract sub networks from large data sets - Select nodes and edges with specific conditions - Pick nodes with degree > 5 - Select edges extracted from publication X - Find nodes on KEGG Pathway X
- 63. Other Selection Command: FirstNeighbor of Nodes CTR+6
- 64. Create New Sub-NetworkFrom Selection CTR+N
- 65. Summary: Selection - Createfilter from your biological question: - Select all nodes annotated with GO term “DNA repair” and have two or more know interaction - Select all genes directly interact with brca1, brca2, etc. - Extract subnetwork by CTR+N
- 66.
- 67.
- 68. - Goal: Helpothers to understand your data - Emphasize what you want to tell - Use color, shape, size of objects effectively! - Excellent resource for data visualization - Tamara Munzner’s Web Site: http://www.cs.ubc.ca/~tmm/ Data Visualization
- 69. Map Attributes toVisual Properties
- 72. Visual Style - Collectionof mappings from Attributes to Visual Properties
- 73. Visual Style - ExampleMappings: - Expression profiles to node color - Object type (protein, compounds, complex, etc.) to node shape - Interaction type (Protein-Protein, Protein-DNA, etc.) to edge line style
- 74.
- 79.
- 80. GCN4 HIS7 ILV2 RPL16A CBF1 YOR264W YGR058W YGR136W YBR190W YCR086W YNL050C ACS2 FPR1 SNP1HMO1 PRP21 TAH18 SIP4 HOM3 PGK1 RPS17A RPL18B HSP42 ARG1 FCY1 SRP1 MCK1 YDR412W PHO13 PHO4 PHO84 RPS24B PDC1 RPL18A RPS24A PFK27 YPT1RAP1 ENO1 SEC17 GCR1 PHO5 GDS1 TPI1 CLB2 ADH1 CDC19 ENO2 ICL1 MSN5 SNC2SEC9 DDI1 CBF5 SNC1 SSO2 YGR203W GCR2 HXT11 RFA2PDR3 SYF3 CAR1 PDR1 AST1 YNL047C CLB1 TIF5 HSL1 CKS1 NIP1 YML114C PMA1 TIF35 PRT1 RPS8B GPD2PRE10 GNA1 TIF34 YDR070C RLM1 HSP150 CDC6 YDL023C YIL113W SSN6 BFR2 KNS1 TUP1 YKL161C SSL2 VPS21 RPL25 HIS3 TFA1 HIS4 PEP7 TFB1 NCE103 SIN4 GPA1 MSL5 ATC1 SST2 CNS1 PRP40 TOR1 BUD6 YGR046W HSC82 MSL1 BAS1 YGL161C SKO1 PEP12 YDR100W YNL164C YNL091W SUC2 RPL42B HSP82 MUD2 AHP1 CIN4 RPL34B RPL11B SXM1 RPL16B RPL11A RPL31A RPL10 CUP1B SSA4 GFD1 GCN3 HRP1 RNA15 NAB2 CHK1 APG7 YLR345W SFH1 ADE4 RAD52 MET16 TRP4 HXT9 RFA1 HSP26 GIP1 PCL10 PHO85 PCL5 GSY2 PIG2 HSF1 GAC1 CUP1A YOR315W GLC7 APG12 REG2 AUT1 GIP2 APG5 GLC8 PIS1 CTT1 CYC7CLN3 SLT2 CDC42 MFA2 MCM1 MFA1 STE12 SWI4 FBP1 LYS9 DMC1 MLS1 DCP1 PCK1 GAL3 SWI5 GAL1 MIG1 GAL80 FAR1 GAL11 GAL10 HAP4 GAL4 GAL7 STE4 GAL2 GCY1 RPA135 MAM33 CYB2 YDR032C SPC24 ASN1 HEX3 LSM8 YEL015W PRP9 TEM1 YMR044W ECI1 YNR053C TAF25 MTH1 YHR198C MPT1 GLN1 GDH2 YER116C UGA1 SNF3YLR432W GLN3 PDC5 YIL105C RPS28B RPS28A LSM4 LSM2 HAP1 STE11 SPA2 STE50 STE5 CYC1 HAP3 YER124C HAP2 GIC2CDC28 STE2 BAR1 ALPHA2
- 81. YBR190W YCR086W YNL050C ACS2 SNP1 PRP21 TAH18 SIP4 PGK1 RPS17A RPL18B HSP42 ARG1 FCY1 SRP1 MCK1 YDR412W PHO13 PHO4 PHO84 RPS24B PDC1 RPL18A RPS24A PFK27 YPT1RAP1 ENO1 SEC17 GCR1 PHO5 GDS1 TPI1 CLB2 ADH1 CDC19 ENO2 ICL1 MSN5 SNC2SEC9 CBF5 SNC1 SSO2 YGR203W GCR2 YNL047C CLB1 HSL1 ML114C PMA1 HSP150 CDC6 YIL113W SSL2 VPS21 RPL25 HIS3 HIS4 PEP7 TFB1 NCE103 SIN4 GPA1 MSL5 ATC1 SST CNS1 PRP40 TOR BUD6 HSC82 MSL1 BAS1 YGL161C SKO1 PEP12 YDR100W YNL164C YNL091W SUC2 RPL42B HSP82 MUD2 AHP1 CIN4 PIS1 CTT CYC7CLN3 SLT2 CDC42 MFA2 MCM1 MFA1 STE12 SWI4 FBP1 LYS9 DMC1 MLS1 DCP1 PCK1 GAL3 SWI5 GAL1 MIG1 GAL80 FAR1 GAL11 GAL10 HAP4 GAL4 GAL7 STE4 GAL2 GCY1 HEX3 LSM8 YEL015W PRP9 TEM1 YMR044W YNR053C TAF25 MTH1 MPT1 GDH2 YER116C SNF3YLR432W GLN3 PDC5 YIL105C RPS28B RPS28A LSM4 LSM2 HAP1 STE11 SPA2 STE50 STE5 CYC1 HAP3 YER124C HAP2 GIC2CDC28 STE2 BAR1 ALPHA2
- 82.
- 83.
- 84. Cytoscape Apps - Extensionprograms to add new features to Cytoscape (were called Plugins) - Large App developer/ user community - This is why Cytoscape is so successful in life science community!
- 85.
- 86. Quick Overview ofApps A travel guide to Cytoscape plugins ! Rintaro Saito, Michael E Smoot, Keiichiro Ono, Johannes Ruscheinski, Peng- Liang Wang, Samad Lotia, Alexander R Pico, Gary D Bader, Trey Ideker (2012) Nature Methods 9 (11) p. 1069-1076
- 87. A travel guideto Cytoscape plugins ! Rintaro Saito, Michael E Smoot, Keiichiro Ono, Johannes Ruscheinski, Peng-Liang Wang, Samad Lotia, Alexander R Pico, Gary D Bader, Trey Ideker (2012) Nature Methods 9 (11) p. 1069-1076
- 88. A travel guideto Cytoscape plugins ! Rintaro Saito, Michael E Smoot, Keiichiro Ono, Johannes Ruscheinski, Peng-Liang Wang, Samad Lotia, Alexander R Pico, Gary D Bader, Trey Ideker (2012) Nature Methods 9 (11) p. 1069-1076
- 89. Agenda - What isCytoscape? - Data Integration, Analysis, and Visualization with Cytoscape - Cytoscape Ecosystem - Cytoscape Future Plan
- 90.
- 91. Cytoscape Family - Version2.x - Legacy version - Last release for 2.x is 2.8.3. - Version 3.x - Current production version - Latest version: 3.1.0 - Important Note: Apps for 2.x is not compatible with 3.x (We have similar problem like Python…)
- 92. Cytoscape Family - cytoscape.js: Libraryfor web applications JS
- 93.
- 94.
- 95.
- 96. Cytoscape.js Network VisualizationLibrary Running on Web Browsers
- 97. What is cytoscape.js? AJavascript Library for network visualization, not a web application! Need to write some code to use it on the web browsers…
- 98. Complete desktop application fornetwork analysis and visualization ! Written in Java ! Expandable by Apps ! For Users A Javascript Library for network visualization, not a web application! ! Written in JavaScript ! Expandable by Extensions ! For Developers JS
- 99. Analysis Data Integration Cytoscape Desktop Cytoscape.js Visualization MinimalAnalysis Cytoscape Web Desktop Layout Visual Style Visual Style Layout Visualization
- 100. Integration to Cytoscape Newin Cytoscape 3.1.0: Export Networks and Visual Styles to Cytoscape.js Format JS
- 102. Export to HTML5Session Feature for users: you can view networks on web browsers with Cytoscape.js Under development… We need early adapters for testing! JS
- 104.
- 105. Future Plan - Integrationto external tools - Access from Python, R, Perl, etc. - More integration to Cytoscape.js - Cytoscape Cyberinfrastructure (Cytoscape CI)
- 106. Cytoscape CI: Background -The size of data biologists have to analyze is still growing - Desktop machines are powerful, but not enough for large scale data analysis - Clusters / Clouds - Using multiple computing resources as external service is normal for biological data analysis… - Scalability Service 1 Service 2
- 107. Cytoscape Cyberinfrastructure Internet Service 1Service 2 NDEx (DB) Web Browser Cytoscape Desktop
- 108.
- 109.
- 110.
- 111.
- 112. Collaboration - Once youare ready to use Cytoscape for real-world problems, National Resources for Network Biology (NRNB) is always open for collaboration! - NRNB Provides support for both of - Scientific Research - Application / Tool Development - nrnb.org
- 113. - - Two GoogleGroups - cytoscape- discuss@googlegroups.com - cytoscape- helpdesk@googlegroups.com - ANY question is OK! Getting Help
- 114. General Introduction ! ! ! ! ! Advanced Topics -Effective Visualization Techniques - External Tools ! ! Part 2Part 1
- 115. Q1. How manyof you have never used Cytoscape?
- 116. Q2. How manyof you regularly use R/Python/MATLAB?
- 118.
- 119.