Webinar Recording Available All Levels Dr. Omics

Master Gene Expression Analysis with Galaxy: Impactful Bioinformatics without Code

Unlock powerful transcriptomic insights and master complex differential gene expression analysis workflows entirely code-free. Leverage the web-based Galaxy platform and AI-driven data modeling to transition seamlessly from raw sequence data to publication-ready results.

  • 4.5/5
  • English
  • Updated Aug 2026
Master Gene Expression Analysis with Galaxy: Impactful Bioinformatics without Code

About this course

In the data-driven landscape of modern life sciences, parsing transcriptomic sequencing results often poses a daunting coding barrier for researchers. This career-oriented webinar presented by Dr. Omics Labs breaks down these technological hurdles by introducing the intuitive, web-based Galaxy platform. Designed specifically for biologists, clinicians, and students, the course demonstrates how to execute end-to-end gene expression workflows without writing a single line of code. Participants will navigate essential cloud-based data pipelines, moving efficiently from raw transcriptomic read processing to robust differential expression interpretation. By integrating automated analytics with machine learning principles, this training solves the classical computational bottlenecks that delay genomic discoveries. Attendees will gain a thorough understanding of how to manage quality metrics, map sequences, and visualize complex multi-omics patterns. Ultimately, this course provides a clear blueprint to accelerate your laboratory's genomic workflows, enhancing your competitive standing in the biotechnology industry.

What you will learn

The architecture of web-based, code-free bioinformatics pipelines using the Galaxy ecosystem.
How to import, assess, and execute automated quality control filtering on raw high-throughput sequencing data.
Practical deployment of alignment and quantification tools to evaluate transcript abundance.
Statistical and machine learning applications for clustering and visualizing differential expression patterns.
Best practices for sharing, reproducing, and scaling genomic workflows to meet global scientific standards.

Skills you will gain

Transcriptomics Galaxy-Platform Gene-Expression Code-Free Data-Visualization Quality-Control Multi-Omics Computational-Biology Pipeline-Automation
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • Introduction to the Galaxy interface, open-source bioinformatics databases, and no-code tool navigation.
  • High-throughput transcriptomic raw data preprocessing, read trimming, and quality control optimization.
  • Running code-free read mapping and alignment pipelines against reference transcriptomes.
  • Quantifying expression levels, managing normalized data metrics, and identifying significant gene changes.
  • Advanced AI-supported downstream visualization, cluster heatmaps, and functional pathway interpretation.

What you need to start

  • A basic fundamental understanding of molecular genetics, transcription mechanisms, and general cellular biology.
  • Access to a standard web browser (absolutely no prior programming, coding language, or command-line experience required).

Who this course is for

  • Molecular Biologists & Wet-Lab Scientists: Eager to independently analyze their own RNA-Seq datasets without needing command-line skills.
  • Medical & Clinical Researchers: Looking to extract rapid gene expression biomarkers for diagnostic or precision medicine studies.
  • Life Science Students: Seeking an accessible entry point into computational biology to upgrade their academic resumes.
  • Bioinformatics Instructors: Wanting to leverage accessible, GUI-based ecosystems for educational curriculum modeling.
INR

₹199

₹999 80% off
USD

$5

$20 75% 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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