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
15-20 JULY 2026 | 7:15 PM IST | ONLINE
15-20 July 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
Workshop Module
Day 1: NGS Basics & Conda Environment Setup
Introduction to NGS
Overview of NGS technology
Common NGS workflows (DNA-seq, RNA-seq)
Conda Environment Basics (Hands On)
Installing and setting up Conda
Creating, activating, and managing environments
Linux Basics (Hands On)
Essential Linux commands (navigation, file operations)
Day 2: R Basics & Command Line
R Basics (Hands On)
R installation and setup
Basic R syntax and data structures (vectors, data frames)
Command-line usage with R (installing packages, running scripts) with basics of ggplot2 (Histogram, Boxplot, Violin-Plot)
Linux Command Line (Hands On)
Using the command line for file manipulation
Scripting basics in Linux (bash scripting)
Day 3: Alignment Theory & Hands-on
Alignment Theory
Basics of alignment (DNA/RNA alignment)
Tools: BWA, Bowtie, STAR
Understanding reference genomes and indexes
Hands-on Alignment
Aligning sample data to a reference genome using a tool like STAR or BWA
Day 4: FeatureCount & Differential Expression in DESeq2
FeatureCount Theory & Hands-on
Understanding read counting and gene expression quantification
Hands-on with FeatureCount for counting reads
Differential Expression with DESeq2 (Hands On)
Introduction to DESeq2
Running a basic differential expression analysis using DESeq2
Day 5: Dimensionality Reduction & Pathway Analysis
Dimensionality Reduction & PCA
Theory of PCA for dimensionality reduction
Hands-on PCA in R
Pathway Analysis (Hands On)
Basics of downstream pathway analysis (GSEA, KEGG)
Practical hands-on example using pathway analysis tools