RNA Seq Differential Expression Analysis
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Course Overview
Workshop Registration End Date :08/28/2025
Program Syllabus
Module 1
About
RNA sequencing (RNA-Seq) has revolutionized transcriptomics by enabling researchers to study gene expression comprehensively and quantitatively. This workshop offers an in-depth introduction to RNA-Seq data analysis, particularly focusing on Differential Gene Expression (DGE) workflows using real-life datasets and open-source bioinformatics tools.
Through this interactive training, participants will gain practical skills in sequence data formats, quality checks, read mapping, count normalization, and expression profiling. They will also explore advanced visualization tools such as heat maps and volcano plots, culminating with functional enrichment analysis for biological interpretation. No prior coding experience is required, but familiarity with basic molecular biology is beneficial.
Module 2
Aim
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
RNA Seq Differential Expression Analysis
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Workshop Objectives
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Understand the RNA-Seq workflow from sequencing to biological inference
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Learn to perform sequence quality control and read alignment
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Explore normalization techniques and statistical analysis using DESeq2
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Visualize results with heatmaps, volcano plots, and pathway analysis
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Gain confidence in interpreting and presenting differential expression data
Module 4
Workshop Structure
Day 1:
- RNA seq and DGE analysis
- Obtaining Data, Data formats
- Sequence quality Check
Day 2:
- Mapping and Quantification of Reads
- Count Normalization
Day 3:
- Differential gene expression analysis DESeq2
- Heat Map and Volcano plot using R
- Enrichment analysis
Module 5
Intended For
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B.Tech / B.Sc / M.Sc / M.Tech graduates or final-year students from Biotechnology, Bioinformatics, Life Sciences, or allied disciplines
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Professionals and researchers working in Genomics, Molecular Biology, Pharmaceutical R&D, or related areas
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Enthusiasts and learners interested in Transcriptomics, Computational Biology, or exploring careers in bioinformatics
Module 6
Important Dates
Module 7
Registration Ends
08/28/2025
Indian Standard Timing 2:00 PM
Module 8
Workshop Dates
08/28/2025 to 08/30/2025
Indian Standard Timing 3:00 PM
Module 9
Workshop Outcomes
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Clear understanding of RNA-Seq experimental design and pipelines
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Familiarity with common tools: FastQC, STAR, HTSeq, DESeq2
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Hands-on practice with R-based visualizations
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Competence in interpreting gene expression changes
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Ability to run basic enrichment and pathway analysis
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Readiness to apply skills in academic or industry settings
Module 11
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 15
Industry Professional Fee
INR. 2699
USD. 85
List of Currencies
Module 16
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 17
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 18
Future Career Prospects
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Bioinformatics Analyst
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Transcriptomics Researcher
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Genomics Data Scientist
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R&D Specialist in Pharma/Biotech
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Academic Research Associate
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Computational Biology Consultant
Module 19
Job Opportunities
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Research institutes, pharma companies, and CROs looking for RNA-Seq analysts
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Startups and biotech firms involved in diagnostics or drug discovery
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Government and private research projects involving omics data analysis
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Academic labs hiring data-literate biologists or coders for transcriptomic workflows
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Bioinformatics service companies offering NGS analysis
Module 22
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 23
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