Hands-on Crash Course on Gene-Gene Interaction Network Analysis Using STRING and Cytoscape
Master systems biology and functional genomics by constructing, visualising, and analysing complex biological networks. A practical 2-day live workshop tailored for life science researchers, computational biologists, and bioinformatics enthusiasts.
Course Description
The 2-Day Hands-on Crash Course on Gene-Gene Interaction Network Analysis Using STRING and Cytoscape is designed to bridge the gap between high-throughput multi-omics data and biological insight. Organized by Dr.Omics Edu, this intensive online training equips participants with practical expertise in computational biological network mapping. Learners will explore the mechanics of Protein-Protein Interaction (PPI) networks, functional gene enrichment analysis, hub gene identification, and molecular complex detection. By integrating data from the STRING database into Cytoscape software, attendees will learn how to extract critical pathways, decode disease mechanisms, and identify novel therapeutic targets. The course emphasizes practical application, guiding users through real-world gene expression datasets to build publication-ready network visualisations. Whether you are working in transcriptomics, drug discovery, or systems biology, this program accelerates your ability to interpret complex biological interactions accurately.
What You'll Learn
Query and retrieve functional protein interaction data using the STRING database.
Import, parse, and filter molecular interaction networks within Cytoscape.
Apply network topology metrics (Degree Centrality, Betweenness, Closeness) to isolate key driver genes.
Perform Gene Ontology (GO) and KEGG pathway enrichment analyses to elucidate underlying biological processes.
Identify biological sub-networks and clusters using advanced Cytoscape plugins (e.g., cytoHubba, MCODE).
Export publication-quality, high-resolution visualisations for scientific research articles.
Curriculum
-
1.Introduction to Gene-Gene Interaction Networks – Overview, biological significance, and applications in disease research.
Lesson -
2.Gene Interaction Analysis using STRING – Network construction, interaction evidence, confidence scores, and functional enrichment.
Lesson -
3.Hands-on Network Visualization – Build, customize, and interpret gene interaction networks in STRING.
Lesson -
4. Network Analysis using Cytoscape – Import STRING networks, visualize interactions, and identify hub genes.
Lesson
