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RNA-Seq Mastery: Analyze Differential Gene Expression Like a Pro- recorded course

Accelerate transcriptomic research with a comprehensive, self-paced masterclass in high-throughput sequencing analysis. Master the standard bioinformatics pipelines to identify differential gene expression patterns and build AI-ready genomics datasets.

  • 5.0/5
  • English
  • Updated Aug 2026
RNA-Seq Mastery: Analyze Differential Gene Expression Like a Pro- recorded course

About this course

Unlock the complex world of transcriptomics with the professional RNA-Seq Mastery Certification from Dr. Omics Edu. Designed specifically for life scientists, researchers, and biotech professionals, this self-paced training course breaks down advanced differential gene expression analysis into clear, actionable steps. As multi-omics data continues to drive modern precision medicine, knowing how to handle raw transcriptomic data is an invaluable computational skill. This comprehensive program guides you step-by-step through raw sequence quality control, reference genome alignment, and data normalization techniques. You will work directly with industry-standard open-source tools to discover biological insights from massive high-throughput sequencing datasets. By learning how to generate clean expression matrices, you will be fully prepared to feed structured biomedical data into predictive AI and machine learning models. Eliminate your reliance on external bioinformaticians, accelerate your independent research publications, and master the core analytical pipelines defining the future of molecular biology.

What you will learn

Master the complete RNA-Seq data workflow from raw FASTQ sequence files to publication-ready data plots.
Perform rigorous quality control and data pre-processing using command-line sequencing toolkits.
Map transcriptomic reads to reference genomes using fast, highly accurate splicing-aware alignment algorithms.
Calculate differential gene expression statistics and normalize sequencing counts across varying sample conditions.
Generate and interpret sophisticated bioinformatic visualizations, including volcano plots, heatmaps, and PCA clusters.

Skills you will gain

Transcriptomics RNA-Seq Bioinformatics Alignment Normalization Biostatistics Automation Genomics Quality-Control Visualization
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • 1.Introduction to RNA-seq and Key Terminologies
  • 2. Setting Up Tools in Linux for Gene Expression Analysis
  • 3. Quality Control and Read Trimming
  • 4. Genome Indexing and Read Alignment
  • 5. Data Normalization Using Cufflinks
  • 6. Merging Data and Identifying Differentially Expressed Genes
  • Interpretation of DEG Results
  • 7. Annotation of Differentially Expressed Genes
  • 8. Functional and Pathway Enrichment Analysis
  • 9. Network Analysis of Gene Interactions

What you need to start

  • A basic understanding of molecular biology concepts, particularly transcription, gene regulation, and RNA dynamics.
  • No advanced coding or prior bioinformatics pipeline experience is necessary; all computational tools are introduced step-by-step.

Who this course is for

  • Wet-Lab Scientists and Researchers who want to break through analytical bottlenecks and independently process their own RNA sequencing data.
  • Postgraduate Students and Scholars in molecular biology, genetics, immunology, and pharmacology looking to add computational multi-omics skills to their CVs.
  • AI Developers and Data Scientists transitioning into health-tech who require a foundational grasp of raw biological sequence engineering.
INR

₹3999

₹5000 20% off
USD

$35

$50 30% 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.

This course includes
  • Format Self Paced
  • Level All Levels
  • Language English
  • Modules 1
  • Access 3 months
  • Certificate Yes
  • Provider Dr. Omics
  • Certificate
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