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Differential gene expression analysis in galaxy

Master web-based transcriptomics and RNA-seq analytics without writing a single line of code. Learn to analyze, visualize, and interpret high-throughput differential gene expression data in Galaxy.

  • 5.0/5
  • English
  • Starts 25 Jul 2026
  • Updated Aug 2026
Differential gene expression analysis in galaxy

About this course

This intensive online bootcamp by Dr. Omics Edu simplifies the complexities of transcriptomics data analysis using the open-source, web-based Galaxy platform. Designed for life scientists, this course removes the barrier of command-line programming, allowing you to focus entirely on biological discoveries. Participants will learn how to navigate RNA-seq pipelines, evaluate sequencing quality control, and perform robust differential gene expression analysis. The training emphasizes key visual interpretation methods, including generating publication-ready heatmaps and volcano plots directly within the software. By understanding how to transition from raw sequencing reads to clear fold-change insights, you will gain a strong grasp of data-driven molecular biology. This project-centric format ensures that researchers can confidently handle transcriptomic workflows independently. Ultimately, this bootcamp provides the core analytic foundations required to feed clean expression data into downstream functional annotation and AI modeling pipelines.

What you will learn

The core principles of transcriptomics, RNA-seq experimental design, and data processing logic.
How to import, manage, and process large-scale transcriptomic datasets within the Galaxy platform interface.
Advanced quality control methods using tools to filter and trim raw sequencing reads.
Standard pipelines to calculate differential gene expression metrics and identify statistically significant targets.
How to construct and interpret key data visualizations such as heatmaps, PCA, and volcano plots.

Skills you will gain

Transcriptomics RNA-Seq Galaxy-Platform Gene-Expression Data-Visualization Quality-Control Bioinformatics Biostatistics
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • Introduction to Transcriptomics: Understanding RNA-seq principles, workflow architectures, and the Galaxy ecosystem.
  • Quality Control & Preprocessing: Running read-quality assessments, adapter trimming, and data filtering protocols.
  • Sequence Alignment & Quantification: Overview of mapping reads to reference genomes and quantifying gene expression levels.
  • Differential Expression Analysis: Running standard bioinformatic statistical packages within Galaxy to find up- and down-regulated genes.

What you need to start

  • A foundational understanding of molecular biology, genetics, or central dogma concepts.
  • No prior coding, Linux command line, or programming experience is required.

Who this course is for

  • Life Science & Biotech Researchers: Scientists aiming to analyze their own lab's RNA-seq and transcriptomic data.
  • Medical & Clinical Professionals: Healthcare innovators studying molecular biomarkers and altered gene pathways in diseases.
  • Students & Academics: B.Sc., M.Sc., and Ph.D. candidates looking to add high-demand bioinformatics credentials to their CV.
  • No-Code Bioinformaticians: Data enthusiasts who want to master advanced sequencing data pipelines without complex coding barriers.
INR

₹399

₹999 60% off
USD

$10

$50 80% 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 Recording Available
  • Level All Levels
  • Language English
  • Modules 1
  • Access 3 months
  • Certificate Yes
  • Provider Dr. Omics
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