Reserve free seat
Free live masterclass · Sat 25 July, 3–7 PM IST

Differential Gene Expression Analysis in Galaxy

Go from raw RNA-seq reads to a publication-ready volcano plot in one live, hands-on session — using Galaxy's point-and-click tools. No coding required.

Free to attend · Limited to 100 live seats
Sat, 25 July 2026 3:00 – 7:00 PM IST · 4 hrs live Live on Zoom
50,000+ learners trained
★★★★★ 4.9/5
Backed by DST · Illumina · AWS
Volcano plot · your output
UpDownn.s.
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Attending is free

Free to join. Add what you need afterwards.

No catch and no upsell to sit through: the 4-hour live session costs nothing. Add-ons below are for people who want a certificate, the recording, or a review of their own analysis.

Attend live
Free

No charges to attend the masterclass.

  • 4-hour live hands-on session
  • Full Galaxy DGE pipeline, built with you
  • Live Q&A with the trainer
Reserve free seat
Certificate
₹199

Something to show for it on your CV.

  • Everything in Free
  • Certificate of completion
Add certificate
Most picked Certificate + Materials
₹599

Everything you need to redo it on your own data.

  • Everything in ₹199
  • Session recording
  • Study material
  • Practice dataset
Get the bundle
Materials + 1:1 review
₹1,499

For anyone taking this into a thesis or paper.

  • Everything in ₹599
  • Project template
  • One 1:1 review of your analysis
Book with review

Each tier includes everything in the one before it. Add-ons are entirely optional — you can attend the full class without paying anything. See what we cover ↓

The full workflow

Five steps from FASTQ to a figure you can publish

Not slides about theory — you'll run the real RNA-seq to DGE pipeline end to end, on a real dataset, inside Galaxy.

01

Quality control & trimming

Inspect read quality, spot adapter contamination, and clean your reads before anything downstream.

FastQC · MultiQC · Cutadapt
02

Align reads to a reference genome

Map cleaned reads to the genome and understand what a good alignment rate actually looks like.

HISAT2
03

Count reads per gene

Turn alignments into a gene-level count matrix — the input every DGE tool expects.

featureCounts
04

Run differential expression

Compare conditions with DESeq2, and learn to read normalized counts, log₂ fold change, and adjusted p-values.

DESeq2
05

Visualize & interpret

Build the volcano plot, MA plot, heatmap, and PCA — then make sense of which genes matter and why.

Plots · GO enrichment
Who it's for

Built for biologists, not programmers

If you have RNA-seq data (or will soon) and don't want to learn R or Python just to analyze it, this is for you.

Wet-lab biologists

You generated the sequencing data. Now you want to analyze it yourself instead of waiting in a queue.

Master's & PhD scholars

You need clean, defensible DGE results — and a workflow you can describe in your methods section.

Core-facility & industry staff

You want a reproducible, shareable pipeline your whole team can run without touching a command line.

Anyone new to bioinformatics

You've heard "differential expression" a hundred times and want to finally do it — start to finish.

What you walk away with

Real outputs, not just notes

  • A complete, reproducible Galaxy workflow you can rerun on your own data in a few clicks.
  • Your own volcano plot and heatmap generated from a real RNA-seq dataset.
  • The judgment to set sensible thresholds — padj & log₂FC — and actually read the results.
  • A mental model of the whole pipeline, so the next dataset isn't a mystery.

Certificate of completion

Optional add-on from DrOmics Research & Education Lab — add it to your CV, LinkedIn, or lab profile.

Who's behind this

Taught by a working genomics lab — not a content channel

DrOmics is a molecular diagnostics and bioinformatics lab first. The training exists because we kept meeting researchers stuck on data they couldn't analyze.

Dr. Deepshikha Satish, PhD — Founder & CEO, DrOmics Labs
Founder

Dr. Deepshikha Satish, PhD

Founder & CEO · DrOmics Labs

DrOmics was founded by a translational bioinformatician who earned her PhD at the International Centre for Genetic Engineering and Biotechnology (ICGEB) and worked as a senior bioinformatics scientist before starting the lab. She built DrOmics around a gap she saw repeatedly: capable life-science researchers sitting on sequencing data with no practical way to analyze it.

That's the gap this masterclass is designed to close. The session itself is run by the DrOmics bioinformatics training team.

  • PhD, Translational Bioinformatics · ICGEB
  • 10+ international peer-reviewed publications
  • Woman Entrepreneur of the Year, 2024
  • CSIR-NET JRF qualified
Dr. Deepshikha on LinkedIn ↗
Research grants & funding from
DST AWS Illumina Pfizer–IIT Delhi
Skill-development collaborations
LSSSDC APSCHE
50,000+ students trained to date
What learners say

From "I have no idea where to start" to a finished plot

★★★★★

"I'd been sitting on RNA-seq data for months, intimidated by the command line. In one session I had my own volcano plot. The Galaxy approach just clicked."

AR
Ananya R.PhD Scholar · Plant Biology
★★★★★

"The best part was understanding why each step exists, not just clicking buttons. I finally get log₂ fold change and adjusted p-values."

SM
Suhail M.Research Associate · Immunology
★★★★★

"I reran the whole workflow on my own thesis data the next week using the project template. Saved me from begging a bioinformatician for help."

KP
Karthik P.MSc Student · Molecular Biology
Questions

Good things to know

Do I need any coding experience?+

No. Galaxy is entirely point-and-click through a web browser — that's the whole reason we teach differential expression this way. If you can use a spreadsheet, you can follow along.

Is it really free?+

Yes — attending the live masterclass costs nothing, and seats are capped at 100 so the session stays interactive. The add-ons build on each other: ₹199 adds a certificate, ₹599 adds the recording, study material and practice dataset on top of that, and ₹1,499 adds a project template and a 1:1 review on top of everything else. None are required to attend.

Do I need to install anything?+

Nothing. Galaxy runs in your browser and is free to use. We'll walk you through creating an account before the session so you're ready to go.

Do I have to bring my own data?+

No — we provide a sample RNA-seq dataset so everyone can practice on the same thing. If you already have your own data, you're welcome to bring it and apply the workflow afterward.

What if I can't attend live?+

The live session is where the hands-on work happens, so come if you can. If you can't, the ₹599 add-on includes the recording, study material, and practice dataset so you can work through the pipeline at your own pace.

What does the 1:1 review actually cover?+

With the ₹1,499 add-on you get everything in the ₹599 bundle, plus a project template and one one-to-one session where a DrOmics bioinformatician reviews your own analysis — your thresholds, your plots, your interpretation.

Free · Live · Hands-on

Analyze your first RNA-seq dataset on 25 July

Join the free live masterclass and leave with a volcano plot, a working Galaxy pipeline, and the confidence to run differential expression on your own data.

Sat, 25 July · 3–7 PM IST · Free to attend · 100 seats only