Course Live Intermediate Dr. Omics

Master RNA-Seq Data Analysis Crash Course 2 Weeks

Master RNA-Seq Data Analysis in 2 Weeks with hands-on training in quality control, read alignment, quantification, differential expression, and biological interpretation.

  • 5.0/5
  • English
  • Updated Sep 2026
Master RNA-Seq Data Analysis Crash Course 2 Weeks

About this course

Master RNA-Seq Data Analysis Crash Course – 2 Weeks is an intensive, practical program designed to provide hands-on experience in analyzing RNA-Seq data from raw sequencing reads to biological interpretation. Participants will learn the complete RNA-Seq analysis workflow, including raw data quality assessment, quality control and trimming, reference genome alignment, transcript quantification, differential gene expression analysis, visualization, functional enrichment, and pathway analysis.

The course focuses on practical data analysis using widely used bioinformatics tools and workflows, enabling participants to understand and interpret real RNA-Seq datasets. It is suitable for students, researchers, PhD scholars, and life-science professionals who want to develop job- and research-oriented RNA-Seq analysis skills within a short, focused timeframe.

What you will learn

Understand the complete RNA-Seq data analysis workflow.
Perform quality assessment and preprocessing of raw sequencing data.
Align RNA-Seq reads to a reference genome.
Perform gene/transcript quantification and differential expression analysis.
Generate and interpret RNA-Seq visualizations.
Conduct functional enrichment and pathway analysis.
Interpret results for research applications and biological insights.

Skills you will gain

RNA-Seq Data Preprocessing FastQC Quality Control Read Trimming and Filtering Reference Genome Alignment Transcript/Gene Quantification Differential Gene Expression Analysis Volcano Plots Heatmaps PCA Sample Clustering GO and Pathway Enrichment Analysis Biological Interpretation of RNA-Seq Results Command-Line Handling Bioinformatics Workflow Management
Certification

Certificate of Completion will be provided to participants who successfully complete the crash course and meet the applicable course requirements.

Issued by Dr. Omics

Course curriculum

1 module

  • Topic 1 Introduction to RNA-Seq and Its Basic Terminologies
  • Topic 2 Tools Installation in Linux for Gene Expression Analysis
  • Topic 3 Quality Control and Trimming of Reads
  • Topic 4 Indexing of Genome and Alignment of Reads
  • Topic 5 Normalization of Data Using Cufflinks
  • Topic 6 Merging of Data and Differential Expression of Genes
  • Topic 7 Understanding of Differentially Expressed Gene (DEG) Results
  • Topic 8 Annotation of Differentially Expressed Genes
  • Topic 9 Functional and Pathway Enrichment Analysis
  • Topic 10 Network Analysis

What you need to start

  • Basic knowledge of molecular biology and genetics.
  • Basic understanding of genomics/NGS concepts is recommended.
  • Familiarity with computers and basic data handling.
  • No prior RNA-Seq analysis experience is required.

Who this course is for

  • BSc/MSc students in Biotechnology, Bioinformatics, Life Sciences, Microbiology, Biochemistry, and related fields.
  • PhD scholars and academic researchers.
  • Research professionals working with transcriptomics data.
  • Beginners looking to develop practical RNA-Seq analysis skills.
  • Anyone interested in NGS and transcriptomics research.
INR

₹5000

₹10000 50% off
USD

$60

$110 45% 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.

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Active batch
Open for enrolment
Master RNA-Seq Data Analysis Crash Course 2 Weeks
  • Starts 12 Oct 2026
  • Ends 26 Oct 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Intermediate
  • Language English
  • Modules 1
  • Access 1 year
  • Certificate Yes
  • Provider Dr. Omics
  • 2-week intensive RNA-Seq data analysis training
  • Live
  • instructor-led practical sessions
  • Hands-on analysis of RNA-Seq datasets
  • Step-by-step bioinformatics workflow training
  • Practical exposure to commonly used RNA-Seq tools
  • Data visualization and biological interpretation
  • Course materials/resources
  • Trainer guidance during practical sessions
  • Certificate of Completion
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