Join Isabel Duarte for a hands-on introduction to RNA-seq data analysis using R. This workshop focuses on differential expression analysis and guides you in selecting the right Generalized Linear Model (GLM) for your data. Learn key concepts and workflows—from preprocessing raw count data to identifying differentially expressed genes—using powerful tools like BioConductor, DESeq2, and tidyverse.
Short Synopsis:
This 2-hour hands-on workshop provides an introduction to RNA-seq data analysis using R, focusing on differential expression analysis and learning how to choose the right GLM for your question and your data. Participants will learn essential concepts and basic workflow, from preprocessing raw count data to identifying differentially expressed genes.
Target audience and Requirements:
This workshop is designed for researchers from the biological fields interested in analysing bulk RNA-seq data. Basic familiarity with R and RStudio is required. Participants should bring their own laptops. Assistance with setup will be provided as needed.
Workshop Structure (2 Hours):
Introduction Lecture (30 minutes)
- Overview of RNA-seq workflows: raw data to biological insights.
- Key concepts: Quality control, normalization, Generalized Linear Models
- Overview of relevant R packages: BioConductor, DESeq2, tidyverse
Hands-on Practice (60 minutes)
- Importing and preprocessing count data
- Sample data (variables from experimental design)
- Exploratory data analysis (QC, normalization, PCA, clustering)
- Choosing the right GLM for your question and type of data
- Performing differential expression analysis with DESeq2
- Interpreting results: volcano plots, heatmaps, pathway analysis
Extra Tasks, Q&A, and Wrap-up (30 minutes)
- Functional enrichment and pathway analysis for Differentially expressed features
- Open Q&A and mentoring
📅 Date: June 4th, 15:00–17:00.
📍 Location: University of Algarve, Gambelas Campus, Building 7, Room 1.39.
💻 Requirements: RStudio.
Boost your data analysis skills and gain confidence in RNA-seq workflows!
Target Audience: Researchers in biological sciences interested in bioinformatics.
🏆 Why Join?
✅ Hands-on learning with expert guidance
✅ Practical examples using real-world biological datasets
✅ Interactive Q&A and mentoring opportunities
✅ Build a strong foundation in bioinformatics universe of tools
📌 Unfortunately, no more spots are available at this time.
NOTE: Members of CIMAR-LA (CCMAR and CIIMAR) have the same access conditions.
Related events
