Course Live Advanced Dr. Omics Edu

RNA-Seq Data Analysis Masterclass: From Raw Reads to Biological Insights

Master RNA-Seq data analysis from raw sequencing reads to quality control, transcript quantification, differential expression, and biological interpretation through hands-on bioinformatics workflows.

  • 5.0/5
  • English
  • Starts 01 Jan 0001
  • Updated Oct 2026
INR

₹45000

₹60000 25% off
USD

$600

$700 14% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Make an Enquiry
RNA-Seq Data Analysis Masterclass: From Raw Reads to Biological Insights

About this course

The RNA-Seq Data Analysis Masterclass: From Raw Reads to Biological Insights at Dr. Omics Edu is a live, mentor-led online course in NGS and genomics data analysis. It covers the full RNA-seq route from FASTQ reads to biologically meaningful results. You learn on real biological data and finish with a genomics analysis taken from raw reads to interpreted results that you can show to an employer, a guide or an admissions panel.
In this course you move through rna-seq experimental design and qc, read trimming and alignment and gene-level quantification, then apply them in a hands-on project. The course runs live online across 1 module, so you can ask your mentor questions as you work. It is an advanced-level course, best suited to learners who already know the fundamentals.

What you will learn

• RNA-seq experimental design and QC
• Read trimming and alignment
• Gene-level quantification
• Differential expression with DESeq2
• Pathway and GO enrichment analysis
• Plots and biological interpretation
Genomics data analyst, NGS bioinformatician, research associate, and a stronger profile for genomics research or higher studies.

Skills you will gain

Linux FastQC HISAT2/STAR featureCounts DESeq2 R
Certification

Available

Issued by Dr. Omics Edu

Course curriculum

1 module

  • Day 1 – Course overview, RNA-seq workflow map, and experimental design principles (replicates, batch, confounding).
  • Day 2 – Raw read QC: FastQC fundamentals and adapter/quality trimming basics.
  • Day 3 – Aggregating QC reports with MultiQC and interpreting common failure patterns.
  • Day 4 – Alignment-free quantification with Salmon: indexing and quasi-mapping.
  • Day 5 – Splice-aware alignment with STAR: genome indexing and BAM output.
  • Day 6 – Comparing Salmon vs STAR workflows; choosing the right approach for your data.
  • Day 7 – Building a count matrix and importing transcript-level data with tximport (gene-level summarization).
  • Day 8 – Exploratory data analysis: PCA, sample clustering, and library size normalization checks.
  • Day 9 – Batch effect detection and correction (ComBat/limma removeBatchEffect).
  • Day 10 – Differential expression fundamentals with DESeq2 (design formulas, dispersion estimation).
  • Day 11 – Differential expression with edgeR and comparing results/statistics between DESeq2 and edgeR.
  • Day 12 – Advanced visualization: volcano plots and MA plots for DE results.
  • Day 13 – Advanced visualization: ComplexHeatmap for expression patterns and sample annotations.
  • Day 14 – Functional enrichment analysis with clusterProfiler (ORA) and GSEA methodology.
  • Day 15 – Pathway and network biology using STRING and Cytoscape for interpreting gene networks.

What you need to start

  • Basic understanding of molecular biology and gene expression.
  • Familiarity with NGS concepts is helpful but not mandatory.
  • Basic computer skills.
  • No prior advanced bioinformatics experience is required.

Who this course is for

  • B.Sc, M.Sc, B.Tech, M.Tech and PhD students in biotechnology, genetics, microbiology, biochemistry or life sciences, and early-career researchers.
INR

₹45000

₹60000 25% off
USD

$600

$700 14% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Make an Enquiry
Active batch
Open for enrolment
RNA-Seq Data Analysis Masterclass
  • Starts 19 Oct 2026
  • Ends 06 Nov 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Advanced
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics Edu
  • Live
  • instructor-led interactive sessions.
  • Hands-on RNA-Seq data analysis exercises.
  • Practical exposure to commonly used bioinformatics tools and workflows.
  • Dataset/resources required for the training.
  • Step-by-step guidance throughout the analysis pipeline.
  • Course learning materials and supporting resources.
  • Certificate of participation/completion as applicable.
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