RNA Seq Differential Expression Analysis

This 3-day workshop aims to provide hands-on understanding and theoretical foundations in RNA-Seq analysis, from raw data to biological interpretation. Participants will learn key workflows including data acquisition, quality control, mapping, normalization, differential expression analysis, and visualization techniques using R and DESeq2.

• Understand the RNA-Seq workflow from sequencing to biological inference

• Learn to perform sequence quality control and read alignment

• Explore normalization techniques and statistical analysis using DESeq2

• Visualize results with heatmaps, volcano plots, and pathway analysis

• Gain confidence in interpreting and presenting differential expression data

• B.Tech / B.Sc / M.Sc / M.Tech graduates or final-year students from Biotechnology, Bioinformatics, Life Sciences, or allied disciplines

• Professionals and researchers working in Genomics, Molecular Biology, Pharmaceutical R&D, or related areas

• Enthusiasts and learners interested in Transcriptomics, Computational Biology, or exploring careers in bioinformatics

• Clear understanding of RNA-Seq experimental design and pipelines

• Familiarity with common tools: FastQC, STAR, HTSeq, DESeq2

• Hands-on practice with R-based visualizations

• Competence in interpreting gene expression changes

• Ability to run basic enrichment and pathway analysis

• Readiness to apply skills in academic or industry settings