Workshop Live All Levels Dr. Omics Featured

Decode the Transcriptome: A Hands-On Galaxy RNA-Seq Workshop

Master Next-Generation Sequencing (NGS) gene expression analysis through no-code bioinformatics workflows on the web-based Galaxy platform. Transform raw sequencing data into publication-ready differential expression biological insights in this practical two-day training.

  • 5.0/5
  • English
  • Starts 10 May 2026
  • Updated Sep 2026
Decode the Transcriptome: A Hands-On Galaxy RNA-Seq Workshop

About this course

Unlock the full potential of Next-Generation Sequencing (NGS) data with this comprehensive two-day bioinformatics workshop designed for life sciences professionals and researchers. Transcriptomics forms the backbone of modern molecular biology, enabling precise measurement of gene expression across diverse biological conditions. This hands-on course eliminates complex command-line programming barriers by utilizing the accessible, cloud-enabled Galaxy platform for end-to-end RNA-Seq data processing. Participants will gain practical expertise in evaluating raw FASTQ read quality, trimming low-quality sequences, and performing precise genomic alignment with industry-standard tools like HISAT2 and STAR. You will master quantification techniques to extract gene-level counts using FeatureCounts, followed by rigorous differential expression analysis via DESeq2 and EdgeR. Finally, learn how AI-driven bioinformatics tools enhance data interpretation by transforming statistical outputs into intuitive volcano plots and publication-grade heatmaps. Designed for immediate practical application, this course bridges the gap between raw sequencing outputs and actionable biological discovery.

What you will learn

Perform end-to-end transcriptomic analysis using no-code, web-based Galaxy platform workflows.
Evaluate and optimize raw FASTQ sequence quality using FastQC, Fastp, and Trimmomatic tools.
Map high-throughput RNA-Seq reads to reference genomes using alignment tools like HISAT2 and STAR.
Quantify gene-level expression metrics from sequence alignments using FeatureCounts.
Identify differentially expressed genes (DEGs) statistically using DESeq2 and EdgeR algorithms.
Generate high-resolution biological visualizations including heatmaps and volcano plots.

Skills you will gain

RNA-Seq Transcriptomics Bioinformatics Galaxy FastQC Fastp Trimmomatic HISAT2 STAR FeatureCounts DESeq2 EdgeR Quantification Data-Visualization Volcano-Plots Heatmaps
Certification

Available

Issued by Dr. Omics

Course curriculum

1 module

  • Galaxy & RNA-Seq Overview – Understand RNA-Seq workflow and the Galaxy platform.
  • Quality Control & Preprocessing – Analyze and clean FASTQ reads using FastQC/Fastp.
  • Read Mapping & Quantification – Map reads and generate gene-level count data.
  • Differential Expression Analysis – Identify DEGs and interpret statistical results.
  • Visualization & Interpretation – Create volcano plots, heatmaps, and explore biological insights.

What you need to start

  • Basic understanding of molecular biology concepts (DNA, RNA, gene transcription, and gene expression).
  • Basic familiarity with computer operations and web browser navigation (no prior coding, R, or Python experience required).

Who this course is for

  • Life Science researchers, molecular biologists, and biotechnologists seeking to analyze their own RNA-Seq datasets without coding.
  • Bioinformatics students and academicians wanting practical experience with Next-Generation Sequencing (NGS) workflows.
  • Computational biology beginners looking to transition from theoretical genomics to hands-on transcriptomics analysis.

Free

Enrolment is free — the certificate carries a nominal fee. Contact us for details.

Active batch
500 seats left
Galaxy workshop
  • Starts 05 Oct 2026
  • Ends 19 Oct 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue
  • Platform Google Meet
  • Batch size 500 seats
This course includes
  • Format Live
  • Level All Levels
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider Dr. Omics
WhatsApp