Go from raw sequences to a publication-quality tree — alignment, model selection, Neighbor-Joining and Maximum Likelihood, and bootstrap validation. No programming required.
The course fee is ₹0 — the live bootcamp costs nothing. The certificate carries a nominal fee, and the add-ons below are for anyone who wants the recording, materials, or a review of their own tree.
No charges to attend the masterclass.
Something to show for it on your CV.
Everything you need to redo it on your own data.
For anyone putting a tree into a thesis or paper.
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 ↓
Every step is done live on real DNA and protein sequences — you build the tree alongside the instructor, not watch slides about it.
The fundamentals of molecular evolution, what the different tree types mean, and where phylogenetics is actually used in research.
Why alignment decides everything downstream — retrieving sequences from GenBank and aligning them with the tools built into MEGA.
Get MEGA running on Windows or Mac and learn your way around the features you'll actually use.
Pick the best substitution model, build Neighbor-Joining and Maximum Likelihood trees, run bootstrap validation, then root, edit and export a publication-quality figure.
No prior bioinformatics or coding experience is needed — just a basic grounding in biology and a willingness to work through the exercises.
Microbiology, molecular biology, genetics or biotechnology students who need phylogenetics for coursework or a dissertation.
You need defensible trees with proper model selection and bootstrap support — and a methods section you can stand behind.
Genomics, evolutionary biology, agricultural and environmental researchers working with sequence data.
You've seen phylogenetic trees in papers and want to finally build one yourself, start to finish.
Issued by DrOmics — add it to your CV, LinkedIn or lab profile.
DrOmics is a molecular diagnostics and bioinformatics lab first. The training exists because we kept meeting researchers stuck on data they couldn't analyze.
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.
"I'd made trees before without understanding the model choice. Now I can explain why I picked it — my supervisor noticed the difference immediately."
"The bootstrap section alone was worth it. I finally understand what those numbers at the nodes mean and how much confidence they actually give."
"No coding, real sequences, and a finished figure by the end. I used the same workflow on my own isolates the following week."
None at all. MEGA is a point-and-click desktop application, and no previous bioinformatics experience is required either — the bootcamp is built for beginners as well as experienced researchers.
A basic understanding of biology or life sciences, fundamental knowledge of DNA and proteins, basic computer skills, and a Windows or Mac computer with internet access. Familiarity with molecular biology concepts helps but isn't essential.
We cover installation and the interface live in session 03, so you can follow along from scratch. If you'd rather arrive ready, install the latest MEGA from megasoftware.net — it's free.
Yes. You'll work with real DNA and protein sequence datasets retrieved from biological databases such as GenBank, and finish with a tree you built yourself.
Yes — the course fee is ₹0 and attending the live bootcamp costs nothing. The certificate carries a nominal fee, and the optional add-ons above (recording, materials, 1:1 review) are entirely up to you. None are required to attend.
Yes — a certificate of completion issued by DrOmics, available as an optional add-on. Attending the bootcamp itself stays free.
Join the free hands-on bootcamp and leave with an aligned dataset, a bootstrapped tree, and a publication-quality figure you built yourself. Certificate and materials are optional add-ons.
Master bioinformatics skills and become job ready with Dr Omics Edu.
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Dr. Omics Edu — Transforming Life Sciences
