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RNA-Seq Data Analysis in R – Basic to Advanced
RNA-Seq Data Analysis in R – Basic to Advanced (Recorded Course)
1. Course Description
Learn RNA-Seq Data Analysis in R from Basic to Advanced through step-by-step recorded video lectures and hands-on practical training. This course covers the complete RNA-Seq workflow, including data preprocessing, normalization, quality control, differential gene expression analysis using DESeq2, GO and KEGG pathway enrichment, advanced transcriptomic analysis, and publication-ready scientific visualization. Using real RNA-Seq datasets, participants will develop practical skills to independently analyze transcriptomic data and prepare high-quality results for research publications. No prior knowledge of R programming is required.
Course Title: RNA-Seq Data Analysis in R – Basic to Advanced
Course Type: Recorded Video Lectures
Learning Mode: Self-Paced Online Learning
Course Level: Beginner to Advanced
Total Modules: 11
Programming Language: R
Software: R, RStudio, and Bioconductor
Practical Training: Real RNA-Seq Datasets
Learning Resources: R Scripts and Practice Datasets
Student Support: 24-Hour WhatsApp Support
A laptop or desktop computer running Windows 10 or Windows 11
A stable internet connection for accessing recorded lectures and downloading course materials
Basic computer skills
Willingness to learn RNA-Seq data analysis
No prior knowledge of R programming is required.
No previous experience in bioinformatics or RNA-Seq analysis is necessary
R, RStudio, and required packages will be introduced during the course.
MSc, MPhil, and PhD Students
Postdoctoral Researchers
University Faculty and Research Scholars
Bioinformatics and Biotechnology Students
Molecular Biology and Genetics Researchers
Plant, Animal, and Medical Science Researchers
Professionals working with transcriptomic data
Beginners interested in learning RNA-Seq data analysis using R
Start learning RNA-Seq Data Analysis with PyRlytics LLC and develop practical research skills at your own pace.
