NGS Data Analysis using Linux & R (Online Live Hands-on Workshop)

Next Generation Sequencing, Conda Environment Setup, R Programming, Linux, DNA/RNA Alignment, Gene Expression and Pathway Analysis

worm's-eye view photography of concrete building
worm's-eye view photography of concrete building

08–12 April 2026 | 7:15 PM IST | Online Hands-on Workshop | Certificate

About the Workshop

This course provides a comprehensive, hands-on introduction to transcriptomics and bioinformatics, equipping participants with both theoretical knowledge and practical skills for analyzing gene expression data. Over five days, you will learn to utilize essential tools such as Linux and R to establish your working environment, process RNA-seq data, and conduct advanced analyses. By the conclusion of this workshop, learners will be well-prepared to handle complex transcriptomic data and apply these competencies to their research in genomics, bioinformatics, and molecular biology.

What You Will Learn

  • Fundamentals of Next Generation Sequencing (NGS) and transcriptomics

  • Linux command-line operations and environment setup using Conda

  • R programming for data analysis and visualization

  • RNA/DNA sequence alignment using tools like HISAT2, STAR, and BWA

  • Gene expression quantification using FeatureCount

  • Differential gene expression analysis using DESeq2

  • Dimensionality reduction techniques such as PCA

  • Pathway and enrichment analysis using GSEA and KEGG

Course Features

  • Live online sessions via Google Meet

  • Hands-on practical training with real datasets

  • Interaction with expert resource persons

  • Access to software, protocols, and tools

  • Lecture PPTs and session recordings provided

  • e-Certificate upon successful participation

Learning Outcomes

  • Independently perform RNA-seq data analysis workflows

  • Work efficiently in Linux and R environments

  • Conduct gene expression and differential analysis

  • Interpret high-throughput sequencing data

  • Apply pathway analysis techniques for biological insights

  • Use bioinformatics tools for research and publication purposes

Who Can Join

  • Undergraduate and postgraduate students in Life Sciences

  • Research scholars and PhD candidates

  • Faculty members and academicians

  • Professionals from Biotechnology, Biochemistry, Microbiology, and related fields

  • Medical professionals (MBBS/MD/MS), Pharmacy and Chemical Sciences background

  • Industry professionals interested in bioinformatics and genomics


Course Fee
Indian Participants: ₹1499 INR
International Participants: $150 USD