Decode the Transcriptome: From Raw Reads to Functional Insights in Just 3 Days!
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.
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
Module 1:
Module 2:
Module 3:
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
₹2,499
$50
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
365 days from your registration, on your NanoSchool dashboard.
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
