Course Live Intermediate Dr. Omics

Specialised Course of Decoding Gene Expression: Hands-on Differential Expression Analysis Using Galaxy

Master hands-on differential gene expression analysis using Galaxy, from RNA-seq data quality control and read processing to statistical analysis and biological interpretation.

  • 5.0/5
  • English
  • Updated Sep 2026
Specialised Course of Decoding Gene Expression: Hands-on Differential Expression Analysis Using Galaxy

About this course

Explore the complete computational workflow for differential gene expression analysis using the Galaxy platform through practical, step-by-step training. This specialized course covers RNA-seq data quality assessment, preprocessing, reference-based read alignment, transcript/gene quantification, differential expression analysis, statistical interpretation, and visualization. Participants will work with biological datasets to identify significantly upregulated and downregulated genes and interpret expression patterns using commonly used Galaxy tools and workflows.

What you will learn

Understand the fundamentals of RNA-seq and gene expression analysis.
Perform quality assessment and preprocessing of RNA-seq data.
Process and align sequencing reads using Galaxy.
Generate and analyze gene expression/count data.
Perform differential expression analysis between experimental conditions.
Identify significantly upregulated and downregulated genes.
Interpret statistical results and expression patterns.
Visualize differential expression results using common plots.
Develop a complete Galaxy-based workflow for gene expression analysis.

Skills you will gain

Galaxy platform RNA-seq data analysis quality control read preprocessing reference genome alignment transcript and gene quantification count data analysis differential expression analysis statistical analysis upregulated and downregulated gene identification data visualization heatmaps volcano plots expression profiling biological interpretation bioinformatics workflow development
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

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

What you need to start

  • Basic understanding of molecular biology and genetics.
  • Familiarity with RNA and gene expression concepts.
  • Basic knowledge of NGS is helpful but not mandatory.
  • No prior Galaxy experience is required.

Who this course is for

  • B.Sc./M.Sc. students in Bioinformatics, Biotechnology, Microbiology, Biochemistry, Genetics, and Life Sciences.
  • PhD scholars and research students working with RNA-seq data.
  • Beginners interested in transcriptomics and gene expression analysis.
  • Researchers looking for hands-on experience with Galaxy.
  • Students and professionals interested in NGS and computational biology.
INR

₹6000

₹8000 25% off
USD

$80

$100 20% off

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

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

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Active batch
Open for enrolment
Specialised Course of Decoding Gene Expression: Hands-on Differential Expression Analysis Using Gal
  • 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
  • Certificate Yes
  • Provider Dr. Omics
  • Complete hands-on differential gene expression workflow using Galaxy.
  • RNA-seq quality control and preprocessing.
  • Read alignment and gene expression quantification.
  • Differential expression analysis.
  • Identification of significant genes and expression patterns.
  • Volcano plot
  • heatmap
  • and other result visualization.
  • Practical exercises using RNA-seq datasets.
  • Galaxy workflow-based training.
  • Course materials and learning resources.
  • Certificate of completion.
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