RNA-Seq Data Analysis
Course Duration: 2 weeks
RNA-Seq Data Analysis
This short course provides participants with the essential knowledge and skills to effectively analyze RNA-Seq data and extract meaningful insights. Participants will learn the fundamentals of RNA-Seq experimental design, data preprocessing, differential gene expression analysis, and functional interpretation of results. Through a combination of theoretical lectures, hands-on exercises, and case studies, participants will gain practical experience in analyzing RNA-Seq data using popular bioinformatics tools and workflows.
By the end of the course, participants will be equipped with the necessary tools and techniques to confidently perform RNA-Seq data analysis and interpret the biological significance of the results.
Course Outline
- Introduction to RNA-Seq
- Preprocessing and Quality Control of RNA-Seq Data
- Transcriptome Assembly and Quantification
- Differential Gene Expression Analysis
- Functional Analysis and Pathway Enrichment
- Alternative Splicing Analysis
- Long Non-Coding RNA Analysis
- Integrative Analysis and Visualization
- Case Studies and Hands-on Exercises
- Project Work
Course Prerequisites
– Basic understanding of molecular biology and genetics concepts
– Familiarity with the Linux command line is beneficial but not mandatory
– Prior exposure to high-throughput sequencing technologies and genomics is helpful but not required
Who Should Attend
– Bioinformaticians, researchers, and scientists interested in RNA-Seq data analysis
– Biologists and geneticists aiming to gain expertise in transcriptomics
– Students and professionals in the fields of genomics, molecular biology, and bioinformatics
Course Benefits
– Gain hands-on experience in processing and analyzing RNA-Seq data
– Understand the key steps and methods in RNA-Seq data analysis
– Interpret and validate results for biological insights
– Enhance skills and knowledge for research or career advancement in transcriptomics
