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Beginner's Guide to Gene Expression Analysis - Part-2 | GoAnnotations | Cytoscape | Enrichr | ClueGO

Disclaimer: This video has been re-posted after improving the audio quality for a better viewing experience. Thank you for your patience and support! Welcome to my tutorial on Gene Expression Analysis! In this video, I’ll guide you step by step on how to analyze gene expression data after using GEO2R. I’ll demonstrate how to work with the .csv file, filter differentially expressed genes (DEGs), and perform functional annotations using powerful tools like Enrichr and ClueGO in Cytoscape. Whether you’re a beginner or looking to refine your bioinformatics skills, this tutorial will help you confidently interpret gene expression data and gain biological insights. Topics Covered: Filtering DEGs based on Log Fold Change and P-values Performing Gene Ontology (GO) annotations (Biological Processes, Molecular Functions, and Cellular Components) Pathway enrichment analysis Using Enrichr for fast, web-based annotations Visualizing GO and pathway networks using ClueGO and CluePedia in Cytoscape Tools and Links Mentioned: GEO2R: https://www.ncbi.nlm.nih.gov/geo/geo2r/ Enrichr: https://maayanlab.cloud/Enrichr/enrich Cytoscape: https://cytoscape.org/ ClueGO: https://apps.cytoscape.org/apps/cluego CluePedia: https://apps.cytoscape.org/apps/cluep... Tags: Bioinformatics, Protein, GeneExpression, DNA, RNA