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Next-Generation Sequencing RNA-Seq Data Analysis
Learn the fundamentals of RNA-Seq preprocessing with hands-on experience
14
30+
10
4
When and How
Start Date
25th of January 2025
Duration
1.5 – 2 hours per week
Online
via zoom
Overview
Are you ready to explore the world of Next-Generation Sequencing (NGS) and advance your bioinformatics skills? Join BioCompiler’s comprehensive NGS: RNA-Seq Data Analysis Workshop and take a big leap in your scientific career! 🧬
Why RNA-Seq Matters?
RNA-Seq is a powerful tool in genomics that enables researchers to study gene expression, discover novel transcripts, and understand the biology behind diseases. Mastering RNA-Seq analysis will open opportunities worldwide in academia, industry, and research labs.
After completing this workshop, you will be able to:
- Understand RNA-Seq Basics: Grasp the fundamental principles of RNA-Seq and its applications in genomics research.
- Navigate R for Bioinformatics: Utilize R programming for data manipulation, visualization, and RNA-Seq analysis workflows.
- Master Bash for NGS Data: Efficiently handle large-scale NGS data using Bash, including file management, automation, and preprocessing.
- Perform Data Preprocessing: Execute key preprocessing steps, including quality control, trimming, and mapping of FASTQ files, to generate expression matrices.
- Conduct Downstream Analysis: Analyze differentially expressed genes (DEGs), perform enrichment analysis, and derive biological insights using R.
- Troubleshoot RNA-Seq Pipelines: Identify and resolve common challenges in RNA-Seq data analysis workflows.
- Apply Best Practices: Implement robust, reproducible workflows that align with industry and research standards.
- Complete Real-Life Projects: Work on practical case studies to reinforce skills and build confidence in RNA-Seq analysis.
This comprehensive skill set will prepare you to tackle real-world RNA-Seq projects in academia, industry, or research labs. 🎓
Content
1️⃣ Introduction to R Programming for NGS – 2 Sessions
These sessions will lay the foundation for using R in bioinformatics workflows, enabling you to handle RNA-Seq data confidently:
- Session 1: Introduction to R and RStudio
- Session 2: Data Manipulation and Visualization in R
2️⃣ Introduction to Bash for NGS Data Processing – 2 Sessions
These sessions focus on leveraging Bash for managing large-scale NGS data and preparing it for analysis:
- Session 1: Bash Basics for Bioinformatics
- Session 2: Automation and RNA-Seq Preprocessing Tools
3️⃣ RNA-Seq Data Preprocessing – 5 Sessions
This comprehensive module dives deep into the preprocessing workflows required to generate high-quality RNA-Seq data:
- Session 1: Overview of RNA-Seq Technologies
- Session 2: Quality Control (QC) with FastQC
- Session 3: Trimming and Adapter Removal
- Session 4: Mapping Reads to Reference Genomes
- Session 5: Generating Expression Matrices
4️⃣ Downstream Analysis – 5 Sessions
These sessions focus on extracting biological insights from processed RNA-Seq data:
- Session 1: Exploratory Data Analysis (EDA)
- Session 2: Differential Gene Expression (DGE) Analysis
- Session 3: Pathway and Functional Enrichment Analysis
- Session 4: Data Visualization for Publication
- Session 5: Final Project
This workshop is ideal for:
- Bioinformaticians eager to sharpen their RNA-Seq analysis skills.
- Students and researchers interested in transcriptomics.
- Professionals aiming to leverage Bash and R for RNA-Seq data preprocessing and analysis.
No matter your level, this workshop will empower you with essential tools and insights.
- Sessions are recorded, so you can revisit the content anytime.
- Interactive Q&A after each session ensures personalized support.
- Flexible timing to accommodate participants from different time zones
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