Cytocraft: Sparking Cytoscape Mastery
Master Biological Network Analysis, Pathway Mapping & Systems Biology Visualize Complex Gene, Protein & Omics Networks Using Cytoscape
Course Description
The Cytoscape: Network Biology & Systems Bioinformatics Bootcamp is designed to provide hands-on training in biological network visualization, analysis, and interpretation. Participants will learn how to construct, analyze, and visualize gene regulatory networks, protein-protein interaction (PPI) networks, metabolic pathways, and disease-associated biological systems using Cytoscape. The course covers network topology, pathway enrichment analysis, omics data integration, biomarker discovery, and systems biology approaches. Learners will gain practical experience working with real-world genomics, transcriptomics, proteomics, and multi-omics datasets. The program also explores AI-assisted network biology and data-driven approaches for understanding complex biological systems. By the end of the course, participants will be equipped with industry-relevant skills for bioinformatics, computational biology, pharmaceutical research, and precision medicine applications.
What You'll Learn
Introduction to Cytoscape and network biology
Biological network construction and visualization
Protein-protein interaction (PPI) network analysis
Gene regulatory network analysis
Pathway enrichment and functional annotation
Omics data integration techniques
Network topology and centrality measures
Biomarker and hub gene identification
Disease network analysis
AI applications in systems biology
Biological data interpretation and reporting
Research workflow development using Cytoscape
Curriculum
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Module 1: Introduction to Cytoscape
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Cytoscape Interface Overview
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Network Biology Fundamentals
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Systems Biology Concepts
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Module 2: Network Construction
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Importing Biological Data
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Creating Networks
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Network Visualization Techniques
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Module 3: Protein-Protein Interaction Networks
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PPI Databases
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STRING Integration
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Interaction Analysis
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Module 4: Gene Regulatory Networks
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Gene Interaction Analysis
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Regulatory Network Construction
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Functional Interpretation
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Module 5: Pathway Analysis
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KEGG Pathways
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Reactome Analysis
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Pathway Enrichment
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Module 6: Network Topology Analysis
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Centrality Measures
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Network Clustering
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Hub Gene Identification
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Module 7: Omics Data Integration
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Transcriptomics Data Analysis
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Proteomics Integration
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Multi-Omics Network Construction
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Module 8: Disease Network Biology
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Disease-Gene Networks
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Biomarker Discovery
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Therapeutic Target Identification
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Module 9: AI in Network Biology
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Machine Learning Applications
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Predictive Network Analysis
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AI-Assisted Biomarker Discovery
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Module 10: Capstone Project
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End-to-End Network Analysis
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Biological Interpretation
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Research Presentation
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